:open_hands: Contributing

• Lightly - supervised learning. | [](https://pypi.python.org/pypi/lightly/) [](https://GitHub.com/lightly-ai/lightly/stargazers/) | M | yes | [[Docs]](https://docs.lightly.ai/) [[Github]](https://github.com/lightly-ai/lightly) |
• ViT(Vision Transformer) - supervised Vision Transformer was pre-trained on ImageNet using a resolution of 224x224 | downloads: 75k/month | M | can | [[Docs]](https://huggingface.co/docs/transformers/model_doc/vit) [[Paper]](https://arxiv.org/pdf/2006.03677.pdf) |
• towhee - io/towhee.svg?style=social&label=Star&maxAge=2592000)](https://GitHub.com/towhee-io/towhee/stargazers/) | S | no | [[Github]](https://github.com/towhee-io/towhee) [[Docs]](https://docs.towhee.io/) [[Example]](https://github.com/towhee-io/examples/tree/3a2207d67b10a246fd6a1654adf173d9902c3cf8/video/reverse_video_search) |
• CLIP - supervised way. | downloads: 700k/month | M | can | [[Docs]](https://huggingface.co/openai/clip-vit-base-patch32) [[Github]](https://github.com/openai/CLIP) [[Paper]](https://arxiv.org/pdf/2103.00020.pdf) |
• Vector Hub - of-the-art models to turn data into vectors. | [](https://pypi.python.org/pypi/vectorhub/) [](https://GitHub.com/RelevanceAI/vectorhub/stargazers/) | S | no | [[Github]](https://github.com/RelevanceAI/vectorhub) [[Quickstart]](https://github.com/RelevanceAI/vectorhub/blob/main/examples/Quickstart.ipynb) |
• LDIF
• tsfresh - yonder/tsfresh.svg?style=social&label=Star&maxAge=2592000)](https://GitHub.com/blue-yonder/tsfresh/stargazers/) | M | no | [[Github]](https://github.com/blue-yonder/tsfresh) [[Docs]](https://tsfresh.readthedocs.io/en/latest/) |
• pycatch22 - series features suitable for many classification problems. | [](https://pypi.python.org/pypi/pycatch22/) [](https://GitHub.com/DynamicsAndNeuralSystems/pycatch22/stargazers/) | S | no | [[Github]](https://github.com/DynamicsAndNeuralSystems/pycatch22) [[Paper]](https://arxiv.org/pdf/1901.10200.pdf) |
• Kats
• pyts
• PointGLR - Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds". | [](https://GitHub.com/raoyongming/PointGLR/stargazers/) | L | yes | [[Github]](https://github.com/raoyongming/PointGLR) [[Paper]](https://arxiv.org/pdf/2003.12971.pdf) |
• Occupancy Networks
• mesh2vec
• OpenL3 - source Python library for computing deep audio and image embeddings. | [](https://pypi.python.org/pypi/openl3/) [](https://GitHub.com/marl/openl3/stargazers/) | S | no | [[Github]](https://github.com/marl/openl3) [[Docs]](https://openl3.readthedocs.io/en/latest/?badge=latest) [[Example]](https://openl3.readthedocs.io/en/latest/tutorial.html#extracting-audio-embeddings) |
• towhee - io/towhee.svg?style=social&label=Star&maxAge=2592000)](https://GitHub.com/towhee-io/towhee/stargazers/) | S | no | [[Github]](https://github.com/towhee-io/towhee) [[Docs]](https://docs.towhee.io/) [[Snippet]](https://towhee.io/towhee/audio-embedding-vggish) [[Example]](https://github.com/towhee-io/examples/tree/main/audio/audio_classification) |