\n\n\n\n
Hey there, Nomadev here! If you’re reading this, you’re probably as excited about AI and open source as I am. As an AI Tool Guru and enthusiast, I’m always on the lookout for cool projects to contribute to and learn from. And guess what? I’ve found some gems that I think you’ll love.
So, whether you’re a seasoned developer or a newbie looking to dip your toes in the world of AI, this list is for you. Let’s dive in!<\/p>\n\n\n\n
<\/a>1. Llama 2 by Meta and Microsoft<\/a><\/h2>\n\n\n\n![\"Image](\"https:\/\/res.cloudinary.com\/practicaldev\/image\/fetch\/s--qYwRCNLU--\/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_800\/https:\/\/dev-to-uploads.s3.amazonaws.com\/uploads\/articles\/ae7scky5yag3rhs71t2o.jpg\")
<\/a><\/figure>\n\n\n\nLlama 2 is the next generation of Meta’s open source large language model. It’s free for research and commercial use, making it a great project to contribute to.<\/p>\n\n\n\n
\u2192 Large community support from both Meta and Microsoft.
\u2192 Good for those interested in large language models and natural language processing.
\u2192 Requires knowledge of Python and machine learning concepts.
\u2192 Opportunity to contribute to a project that’s at the forefront of AI research.<\/p>\n\n\n\n
\n\n\n\n<\/a>2. DeepChem<\/a><\/h2>\n\n\n\n![\"Image](\"https:\/\/res.cloudinary.com\/practicaldev\/image\/fetch\/s--aPyUm5wH--\/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_800\/https:\/\/dev-to-uploads.s3.amazonaws.com\/uploads\/articles\/snlu1v3x2l3mevw8y8xn.png\")
<\/a><\/figure>\n\n\n\nDeepChem aims to provide a high-quality open-source toolchain that democratizes the use of deep learning in drug discovery, materials science, quantum chemistry, and biology.<\/p>\n\n\n\n
\u2192 Ideal for those interested in the intersection of AI and chemistry\/biology.
\u2192 Active community and well-maintained project.
\u2192 Good understanding of deep learning, chemistry\/biology, and Python is required.<\/p>\n\n\n\n
\n\n\n\n<\/a>3. Detectron2<\/a><\/h2>\n\n\n\n![\"Image](\"https:\/\/res.cloudinary.com\/practicaldev\/image\/fetch\/s--DYf_X-15--\/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_800\/https:\/\/dev-to-uploads.s3.amazonaws.com\/uploads\/articles\/hlzilt9w7y3ls1b3npj2.png\")
<\/a><\/figure>\n\n\n\nDetectron2 is Facebook AI Research’s next generation software system that implements state-of-the-art object detection algorithms. It is a ground-up rewrite of the previous version, Detectron, and it originates from maskrcnn-benchmark.<\/p>\n\n\n\n
\u2192 Backed by Facebook AI Research, ensuring a large and active community.
\u2192 Ideal for those interested in object detection algorithms and computer vision.
\u2192 Requires knowledge of Python, PyTorch, and understanding of deep learning concepts.
\u2192 Opportunity to contribute to a project that’s pushing the boundaries of computer vision.<\/p>\n\n\n\n
\n\n\n\n<\/a>4. Theano<\/a><\/h2>\n\n\n\n![\"Image](\"https:\/\/res.cloudinary.com\/practicaldev\/image\/fetch\/s--3AKuPhF2--\/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_800\/https:\/\/dev-to-uploads.s3.amazonaws.com\/uploads\/articles\/3kxiq30bb1bgepy5j63y.png\")
<\/a><\/figure>\n\n\n\nTheano is a Python library that lets you define, optimize, and evaluate mathematical expressions, especially ones with multi-dimensional arrays (numpy.ndarray).<\/p>\n\n\n\n
\u2192 Supported by a large community of machine learning enthusiasts.
\u2192 Good for those interested in mathematical computations and multi-dimensional arrays.
\u2192 Requires knowledge of Python and NumPy.
\u2192 A chance to contribute to a project that’s widely used in the machine learning community.<\/p>\n\n\n\n
\n\n\n\n<\/a>5. MXNet<\/a><\/h2>\n\n\n\n![\"Image](\"https:\/\/res.cloudinary.com\/practicaldev\/image\/fetch\/s--yPFK8kf2--\/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_800\/https:\/\/dev-to-uploads.s3.amazonaws.com\/uploads\/articles\/y5qep3am7yacg6peuocp.jpeg\")
<\/a><\/figure>\n\n\n\nApache MXNet is an open-source deep learning software framework, used to train, and deploy deep neural networks. It is known for its capabilities in handling multiple data formats.<\/p>\n\n\n\n
\u2192 Backed by Apache, ensuring a large community support.
\u2192 Ideal for those interested in deep learning and handling multiple data formats.
\u2192 Requires knowledge of Python and deep learning concepts.
\u2192 Opportunity to contribute to a project that’s used by many in the AI industry.<\/p>\n\n\n\n
\n\n\n\n<\/a>6. OpenCV<\/a><\/h2>\n\n\n\n![\"Image](\"https:\/\/res.cloudinary.com\/practicaldev\/image\/fetch\/s--BdjP8wnj--\/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_800\/https:\/\/dev-to-uploads.s3.amazonaws.com\/uploads\/articles\/0fm47o4657pj7ssycf80.png\")
<\/a><\/figure>\n\n\n\nOpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in commercial products.<\/p>\n\n\n\n
\u2192 Large community of developers interested in computer vision and machine learning.
\u2192 Good for those interested in real-time computer vision applications.
\u2192 Requires knowledge of C++, Python, and understanding of computer vision concepts.
\u2192 A chance to contribute to a project that’s widely used in the computer vision industry.<\/p>\n\n\n\n
\n\n\n\n<\/a>7. HuggingFace Transformers<\/a><\/h2>\n\n\n\n![\"Image](\"https:\/\/res.cloudinary.com\/practicaldev\/image\/fetch\/s--4Pq664PK--\/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_800\/https:\/\/dev-to-uploads.s3.amazonaws.com\/uploads\/articles\/rq6mf0mlxexjh88wkk9f.jpeg\")
<\/a><\/figure>\n\n\n\nTransformers provides thousands of pretrained models to perform tasks on texts such as classification, information extraction, answer extraction, summarization, translation, text generation, etc in 100+ languages. Its aim is to make cutting-edge NLP easier to use for everyone.<\/p>\n\n\n\n
\u2192 Supported by HuggingFace, a leading company in natural language processing.
\u2192 Ideal for those interested in NLP tasks such as classification, information extraction, summarization, etc.
\u2192 Requires knowledge of Python, PyTorch or TensorFlow, and understanding of NLP concepts.
\u2192 Opportunity to contribute to a project that’s making NLP more accessible to everyone.<\/p>\n\n\n\n
\n\n\n\n<\/p>\n","protected":false},"excerpt":{"rendered":"
<\/a><\/figure>\n\n\n\nLlama 2 is the next generation of Meta’s open source large language model. It’s free for research and commercial use, making it a great project to contribute to.<\/p>\n\n\n\n
\u2192 Large community support from both Meta and Microsoft.
\u2192 Good for those interested in large language models and natural language processing.
\u2192 Requires knowledge of Python and machine learning concepts.
\u2192 Opportunity to contribute to a project that’s at the forefront of AI research.<\/p>\n\n\n\n
\n\n\n\n
<\/a>2. DeepChem<\/a><\/h2>\n\n\n\n<\/a><\/figure>\n\n\n\nDeepChem aims to provide a high-quality open-source toolchain that democratizes the use of deep learning in drug discovery, materials science, quantum chemistry, and biology.<\/p>\n\n\n\n
\u2192 Ideal for those interested in the intersection of AI and chemistry\/biology.
\u2192 Active community and well-maintained project.
\u2192 Good understanding of deep learning, chemistry\/biology, and Python is required.<\/p>\n\n\n\n
\n\n\n\n<\/a>3. Detectron2<\/a><\/h2>\n\n\n\n<\/a><\/figure>\n\n\n\nDetectron2 is Facebook AI Research’s next generation software system that implements state-of-the-art object detection algorithms. It is a ground-up rewrite of the previous version, Detectron, and it originates from maskrcnn-benchmark.<\/p>\n\n\n\n
\u2192 Backed by Facebook AI Research, ensuring a large and active community.
\u2192 Ideal for those interested in object detection algorithms and computer vision.
\u2192 Requires knowledge of Python, PyTorch, and understanding of deep learning concepts.
\u2192 Opportunity to contribute to a project that’s pushing the boundaries of computer vision.<\/p>\n\n\n\n
\n\n\n\n<\/a>4. Theano<\/a><\/h2>\n\n\n\n<\/a><\/figure>\n\n\n\nTheano is a Python library that lets you define, optimize, and evaluate mathematical expressions, especially ones with multi-dimensional arrays (numpy.ndarray).<\/p>\n\n\n\n
\u2192 Supported by a large community of machine learning enthusiasts.
\u2192 Good for those interested in mathematical computations and multi-dimensional arrays.
\u2192 Requires knowledge of Python and NumPy.
\u2192 A chance to contribute to a project that’s widely used in the machine learning community.<\/p>\n\n\n\n
\n\n\n\n<\/a>5. MXNet<\/a><\/h2>\n\n\n\n<\/a><\/figure>\n\n\n\nApache MXNet is an open-source deep learning software framework, used to train, and deploy deep neural networks. It is known for its capabilities in handling multiple data formats.<\/p>\n\n\n\n
\u2192 Backed by Apache, ensuring a large community support.
\u2192 Ideal for those interested in deep learning and handling multiple data formats.
\u2192 Requires knowledge of Python and deep learning concepts.
\u2192 Opportunity to contribute to a project that’s used by many in the AI industry.<\/p>\n\n\n\n
\n\n\n\n<\/a>6. OpenCV<\/a><\/h2>\n\n\n\n<\/a><\/figure>\n\n\n\nOpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in commercial products.<\/p>\n\n\n\n
\u2192 Large community of developers interested in computer vision and machine learning.
\u2192 Good for those interested in real-time computer vision applications.
\u2192 Requires knowledge of C++, Python, and understanding of computer vision concepts.
\u2192 A chance to contribute to a project that’s widely used in the computer vision industry.<\/p>\n\n\n\n
\n\n\n\n<\/a>7. HuggingFace Transformers<\/a><\/h2>\n\n\n\n<\/a><\/figure>\n\n\n\nTransformers provides thousands of pretrained models to perform tasks on texts such as classification, information extraction, answer extraction, summarization, translation, text generation, etc in 100+ languages. Its aim is to make cutting-edge NLP easier to use for everyone.<\/p>\n\n\n\n
\u2192 Supported by HuggingFace, a leading company in natural language processing.
\u2192 Ideal for those interested in NLP tasks such as classification, information extraction, summarization, etc.
\u2192 Requires knowledge of Python, PyTorch or TensorFlow, and understanding of NLP concepts.
\u2192 Opportunity to contribute to a project that’s making NLP more accessible to everyone.<\/p>\n\n\n\n
\n\n\n\n<\/p>\n","protected":false},"excerpt":{"rendered":"
<\/a><\/figure>\n\n\n\nDeepChem aims to provide a high-quality open-source toolchain that democratizes the use of deep learning in drug discovery, materials science, quantum chemistry, and biology.<\/p>\n\n\n\n
\u2192 Ideal for those interested in the intersection of AI and chemistry\/biology.
\u2192 Active community and well-maintained project.
\u2192 Good understanding of deep learning, chemistry\/biology, and Python is required.<\/p>\n\n\n\n
\n\n\n\n
<\/a>3. Detectron2<\/a><\/h2>\n\n\n\n<\/a><\/figure>\n\n\n\nDetectron2 is Facebook AI Research’s next generation software system that implements state-of-the-art object detection algorithms. It is a ground-up rewrite of the previous version, Detectron, and it originates from maskrcnn-benchmark.<\/p>\n\n\n\n
\u2192 Backed by Facebook AI Research, ensuring a large and active community.
\u2192 Ideal for those interested in object detection algorithms and computer vision.
\u2192 Requires knowledge of Python, PyTorch, and understanding of deep learning concepts.
\u2192 Opportunity to contribute to a project that’s pushing the boundaries of computer vision.<\/p>\n\n\n\n
\n\n\n\n<\/a>4. Theano<\/a><\/h2>\n\n\n\n<\/a><\/figure>\n\n\n\nTheano is a Python library that lets you define, optimize, and evaluate mathematical expressions, especially ones with multi-dimensional arrays (numpy.ndarray).<\/p>\n\n\n\n
\u2192 Supported by a large community of machine learning enthusiasts.
\u2192 Good for those interested in mathematical computations and multi-dimensional arrays.
\u2192 Requires knowledge of Python and NumPy.
\u2192 A chance to contribute to a project that’s widely used in the machine learning community.<\/p>\n\n\n\n
\n\n\n\n<\/a>5. MXNet<\/a><\/h2>\n\n\n\n<\/a><\/figure>\n\n\n\nApache MXNet is an open-source deep learning software framework, used to train, and deploy deep neural networks. It is known for its capabilities in handling multiple data formats.<\/p>\n\n\n\n
\u2192 Backed by Apache, ensuring a large community support.
\u2192 Ideal for those interested in deep learning and handling multiple data formats.
\u2192 Requires knowledge of Python and deep learning concepts.
\u2192 Opportunity to contribute to a project that’s used by many in the AI industry.<\/p>\n\n\n\n
\n\n\n\n<\/a>6. OpenCV<\/a><\/h2>\n\n\n\n<\/a><\/figure>\n\n\n\nOpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in commercial products.<\/p>\n\n\n\n
\u2192 Large community of developers interested in computer vision and machine learning.
\u2192 Good for those interested in real-time computer vision applications.
\u2192 Requires knowledge of C++, Python, and understanding of computer vision concepts.
\u2192 A chance to contribute to a project that’s widely used in the computer vision industry.<\/p>\n\n\n\n
\n\n\n\n<\/a>7. HuggingFace Transformers<\/a><\/h2>\n\n\n\n<\/a><\/figure>\n\n\n\nTransformers provides thousands of pretrained models to perform tasks on texts such as classification, information extraction, answer extraction, summarization, translation, text generation, etc in 100+ languages. Its aim is to make cutting-edge NLP easier to use for everyone.<\/p>\n\n\n\n
\u2192 Supported by HuggingFace, a leading company in natural language processing.
\u2192 Ideal for those interested in NLP tasks such as classification, information extraction, summarization, etc.
\u2192 Requires knowledge of Python, PyTorch or TensorFlow, and understanding of NLP concepts.
\u2192 Opportunity to contribute to a project that’s making NLP more accessible to everyone.<\/p>\n\n\n\n
\n\n\n\n<\/p>\n","protected":false},"excerpt":{"rendered":"
<\/a><\/figure>\n\n\n\nDetectron2 is Facebook AI Research’s next generation software system that implements state-of-the-art object detection algorithms. It is a ground-up rewrite of the previous version, Detectron, and it originates from maskrcnn-benchmark.<\/p>\n\n\n\n
\u2192 Backed by Facebook AI Research, ensuring a large and active community.
\u2192 Ideal for those interested in object detection algorithms and computer vision.
\u2192 Requires knowledge of Python, PyTorch, and understanding of deep learning concepts.
\u2192 Opportunity to contribute to a project that’s pushing the boundaries of computer vision.<\/p>\n\n\n\n
\n\n\n\n
<\/a>4. Theano<\/a><\/h2>\n\n\n\n<\/a><\/figure>\n\n\n\nTheano is a Python library that lets you define, optimize, and evaluate mathematical expressions, especially ones with multi-dimensional arrays (numpy.ndarray).<\/p>\n\n\n\n
\u2192 Supported by a large community of machine learning enthusiasts.
\u2192 Good for those interested in mathematical computations and multi-dimensional arrays.
\u2192 Requires knowledge of Python and NumPy.
\u2192 A chance to contribute to a project that’s widely used in the machine learning community.<\/p>\n\n\n\n
\n\n\n\n<\/a>5. MXNet<\/a><\/h2>\n\n\n\n<\/a><\/figure>\n\n\n\nApache MXNet is an open-source deep learning software framework, used to train, and deploy deep neural networks. It is known for its capabilities in handling multiple data formats.<\/p>\n\n\n\n
\u2192 Backed by Apache, ensuring a large community support.
\u2192 Ideal for those interested in deep learning and handling multiple data formats.
\u2192 Requires knowledge of Python and deep learning concepts.
\u2192 Opportunity to contribute to a project that’s used by many in the AI industry.<\/p>\n\n\n\n
\n\n\n\n<\/a>6. OpenCV<\/a><\/h2>\n\n\n\n<\/a><\/figure>\n\n\n\nOpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in commercial products.<\/p>\n\n\n\n
\u2192 Large community of developers interested in computer vision and machine learning.
\u2192 Good for those interested in real-time computer vision applications.
\u2192 Requires knowledge of C++, Python, and understanding of computer vision concepts.
\u2192 A chance to contribute to a project that’s widely used in the computer vision industry.<\/p>\n\n\n\n
\n\n\n\n<\/a>7. HuggingFace Transformers<\/a><\/h2>\n\n\n\n<\/a><\/figure>\n\n\n\nTransformers provides thousands of pretrained models to perform tasks on texts such as classification, information extraction, answer extraction, summarization, translation, text generation, etc in 100+ languages. Its aim is to make cutting-edge NLP easier to use for everyone.<\/p>\n\n\n\n
\u2192 Supported by HuggingFace, a leading company in natural language processing.
\u2192 Ideal for those interested in NLP tasks such as classification, information extraction, summarization, etc.
\u2192 Requires knowledge of Python, PyTorch or TensorFlow, and understanding of NLP concepts.
\u2192 Opportunity to contribute to a project that’s making NLP more accessible to everyone.<\/p>\n\n\n\n
\n\n\n\n<\/p>\n","protected":false},"excerpt":{"rendered":"
<\/a><\/figure>\n\n\n\nTheano is a Python library that lets you define, optimize, and evaluate mathematical expressions, especially ones with multi-dimensional arrays (numpy.ndarray).<\/p>\n\n\n\n
\u2192 Supported by a large community of machine learning enthusiasts.
\u2192 Good for those interested in mathematical computations and multi-dimensional arrays.
\u2192 Requires knowledge of Python and NumPy.
\u2192 A chance to contribute to a project that’s widely used in the machine learning community.<\/p>\n\n\n\n
\n\n\n\n
<\/a>5. MXNet<\/a><\/h2>\n\n\n\n<\/a><\/figure>\n\n\n\nApache MXNet is an open-source deep learning software framework, used to train, and deploy deep neural networks. It is known for its capabilities in handling multiple data formats.<\/p>\n\n\n\n
\u2192 Backed by Apache, ensuring a large community support.
\u2192 Ideal for those interested in deep learning and handling multiple data formats.
\u2192 Requires knowledge of Python and deep learning concepts.
\u2192 Opportunity to contribute to a project that’s used by many in the AI industry.<\/p>\n\n\n\n
\n\n\n\n<\/a>6. OpenCV<\/a><\/h2>\n\n\n\n<\/a><\/figure>\n\n\n\nOpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in commercial products.<\/p>\n\n\n\n
\u2192 Large community of developers interested in computer vision and machine learning.
\u2192 Good for those interested in real-time computer vision applications.
\u2192 Requires knowledge of C++, Python, and understanding of computer vision concepts.
\u2192 A chance to contribute to a project that’s widely used in the computer vision industry.<\/p>\n\n\n\n
\n\n\n\n<\/a>7. HuggingFace Transformers<\/a><\/h2>\n\n\n\n<\/a><\/figure>\n\n\n\nTransformers provides thousands of pretrained models to perform tasks on texts such as classification, information extraction, answer extraction, summarization, translation, text generation, etc in 100+ languages. Its aim is to make cutting-edge NLP easier to use for everyone.<\/p>\n\n\n\n
\u2192 Supported by HuggingFace, a leading company in natural language processing.
\u2192 Ideal for those interested in NLP tasks such as classification, information extraction, summarization, etc.
\u2192 Requires knowledge of Python, PyTorch or TensorFlow, and understanding of NLP concepts.
\u2192 Opportunity to contribute to a project that’s making NLP more accessible to everyone.<\/p>\n\n\n\n
\n\n\n\n<\/p>\n","protected":false},"excerpt":{"rendered":"
<\/a><\/figure>\n\n\n\nApache MXNet is an open-source deep learning software framework, used to train, and deploy deep neural networks. It is known for its capabilities in handling multiple data formats.<\/p>\n\n\n\n
\u2192 Backed by Apache, ensuring a large community support.
\u2192 Ideal for those interested in deep learning and handling multiple data formats.
\u2192 Requires knowledge of Python and deep learning concepts.
\u2192 Opportunity to contribute to a project that’s used by many in the AI industry.<\/p>\n\n\n\n
\n\n\n\n
<\/a>6. OpenCV<\/a><\/h2>\n\n\n\n<\/a><\/figure>\n\n\n\nOpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in commercial products.<\/p>\n\n\n\n
\u2192 Large community of developers interested in computer vision and machine learning.
\u2192 Good for those interested in real-time computer vision applications.
\u2192 Requires knowledge of C++, Python, and understanding of computer vision concepts.
\u2192 A chance to contribute to a project that’s widely used in the computer vision industry.<\/p>\n\n\n\n
\n\n\n\n<\/a>7. HuggingFace Transformers<\/a><\/h2>\n\n\n\n<\/a><\/figure>\n\n\n\nTransformers provides thousands of pretrained models to perform tasks on texts such as classification, information extraction, answer extraction, summarization, translation, text generation, etc in 100+ languages. Its aim is to make cutting-edge NLP easier to use for everyone.<\/p>\n\n\n\n
\u2192 Supported by HuggingFace, a leading company in natural language processing.
\u2192 Ideal for those interested in NLP tasks such as classification, information extraction, summarization, etc.
\u2192 Requires knowledge of Python, PyTorch or TensorFlow, and understanding of NLP concepts.
\u2192 Opportunity to contribute to a project that’s making NLP more accessible to everyone.<\/p>\n\n\n\n
\n\n\n\n<\/p>\n","protected":false},"excerpt":{"rendered":"
<\/a><\/figure>\n\n\n\nOpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in commercial products.<\/p>\n\n\n\n
\u2192 Large community of developers interested in computer vision and machine learning.
\u2192 Good for those interested in real-time computer vision applications.
\u2192 Requires knowledge of C++, Python, and understanding of computer vision concepts.
\u2192 A chance to contribute to a project that’s widely used in the computer vision industry.<\/p>\n\n\n\n
\n\n\n\n
<\/a>7. HuggingFace Transformers<\/a><\/h2>\n\n\n\n<\/a><\/figure>\n\n\n\nTransformers provides thousands of pretrained models to perform tasks on texts such as classification, information extraction, answer extraction, summarization, translation, text generation, etc in 100+ languages. Its aim is to make cutting-edge NLP easier to use for everyone.<\/p>\n\n\n\n
\u2192 Supported by HuggingFace, a leading company in natural language processing.
\u2192 Ideal for those interested in NLP tasks such as classification, information extraction, summarization, etc.
\u2192 Requires knowledge of Python, PyTorch or TensorFlow, and understanding of NLP concepts.
\u2192 Opportunity to contribute to a project that’s making NLP more accessible to everyone.<\/p>\n\n\n\n
\n\n\n\n<\/p>\n","protected":false},"excerpt":{"rendered":"
<\/a><\/figure>\n\n\n\nTransformers provides thousands of pretrained models to perform tasks on texts such as classification, information extraction, answer extraction, summarization, translation, text generation, etc in 100+ languages. Its aim is to make cutting-edge NLP easier to use for everyone.<\/p>\n\n\n\n
\u2192 Supported by HuggingFace, a leading company in natural language processing.
\u2192 Ideal for those interested in NLP tasks such as classification, information extraction, summarization, etc.
\u2192 Requires knowledge of Python, PyTorch or TensorFlow, and understanding of NLP concepts.
\u2192 Opportunity to contribute to a project that’s making NLP more accessible to everyone.<\/p>\n\n\n\n
\n\n\n\n
<\/p>\n","protected":false},"excerpt":{"rendered":"