Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-anything2vec
Easy-to-use self-supervised representation learning for industrial AI
https://github.com/Renumics/awesome-anything2vec
- 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://hub.towhee.io/towhee/image-embedding-resnet50) [[Example]](https://github.com/towhee-io/examples/tree/main/image/reverse_image_search) |
- 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) |
- 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) |
- 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/) [[Example]](https://github.com/towhee-io/examples/tree/3a2207d67b10a246fd6a1654adf173d9902c3cf8/video/reverse_video_search) |
- 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
- 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) |
- 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) |
- 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) |
- LDIF
- Occupancy Networks
- mesh2vec
- 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) |
Programming Languages
Keywords
deep-learning
4
machine-learning
3
python
3
time-series
2
time-series-analysis
1
classification
1
feature-extraction
1
data-science
1
word2vec
1
video-processing
1
vector-similarity
1
vector
1
transformers
1
tfhub
1
tensorflow
1
pytorch
1
neural-network
1
image2vec
1
encodings
1
embeddings
1
deeplearning
1
audio-processing
1
artificial-intelligence
1
machine-listening
1
image-embeddings
1
image
1
embedding-models
1
embedding
1
audio
1
ls-dyna
1
dyna
1
d3plot
1
cae
1
sif
1
shape-reconstruction
1
ldif
1
iccv2019
1
graphics
1
cvpr2020
1
3d-vision
1
unsupervised-learning
1
representation-learning
1
metric-learning
1
computer-vision
1
3d-point-clouds
1
time-series-classification
1