Swav Tf
TensorFlow implementation of "Unsupervised Learning of Visual Features by Contrasting Cluster Assignments".
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| 100 Days Of Ml Code | 20,750 | 2 years ago | 9 | mit | Jupyter Notebook | |||||
| 100-Days-Of-ML-Code中文版 | ||||||||||
| Simclr | 3,525 | a year ago | 1 | April 14, 2022 | 69 | apache-2.0 | Jupyter Notebook | |||
| SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners | ||||||||||
| Machine Learning Specialization Coursera | 2,082 | 4 months ago | 16 | mit | Jupyter Notebook | |||||
| Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG | ||||||||||
| Variational Autoencoder | 1,114 | 2 years ago | n,ull | mit | Python | |||||
| Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow) | ||||||||||
| Variational Autoencoder | 1,049 | 2 years ago | 1 | mit | Python | |||||
| Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow) | ||||||||||
| Similarity | 979 |  | 1 | 5 months ago | 77 | June 28, 2022 | 65 | apache-2.0 | Python | |
| TensorFlow Similarity is a python package focused on making similarity learning quick and easy. | ||||||||||
| Domain Transfer Network | 861 | 6 years ago | 10 | mit | Python | |||||
| TensorFlow Implementation of Unsupervised Cross-Domain Image Generation | ||||||||||
| Athena | 821 | a year ago | 4 | apache-2.0 | C++ | |||||
| an open-source implementation of sequence-to-sequence based speech processing engine | ||||||||||
| All About The Gan | 602 | 6 years ago | 1 | mit | Python | |||||
| All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN | ||||||||||
| Lda2vec Tf | 407 | 7 years ago | 10 | Python | ||||||
| tensorflow port of the lda2vec model for unsupervised learning of document + topic + word embeddings | ||||||||||
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