Probaforms
Conditional normalizing flows (NFs), conditional GANs, and conditional variational autoencoders (CVAEs) with sklearn-like interface
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Neurec | 861 | 2 years ago | 1 | November 04, 2019 | 15 | Python | ||||
| Next RecSys Library | ||||||||||
| Bayesiandeeplearning Survey | 475 | 4 months ago | ||||||||
| Bayesian Deep Learning: A Survey | ||||||||||
| Good Papers | 231 | 5 years ago | 1 | |||||||
| I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers | ||||||||||
| Bnaf | 142 | 3 years ago | mit | Python | ||||||
| Pytorch implementation of Block Neural Autoregressive Flow | ||||||||||
| Kvae | 94 | 5 years ago | 1 | mit | Python | |||||
| Kalman Variational Auto-Encoder | ||||||||||
| Smrt | 94 | 5 years ago | 2 | bsd-3-clause | Python | |||||
| Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class. | ||||||||||
| Deep Learning For Clustering In Bioinformatics | 62 | 3 years ago | other | Jupyter Notebook | ||||||
| Deep Learning-based Clustering Approaches for Bioinformatics | ||||||||||
| Awesome Denovo Papers | 53 | 5 months ago | mit | |||||||
| Awesome De novo drugs design papers | ||||||||||
| Li_emnlp_2017 | 51 | 6 years ago | 5 | Python | ||||||
| Deep Recurrent Generative Decoder for Abstractive Text Summarization in DyNet | ||||||||||
| Artificialintelligenceengines | 48 | a year ago | 1 | mit | Python | |||||
| Computer code collated for use with Artificial Intelligence Engines book by JV Stone | ||||||||||
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Python
Neural Network
Generative Adversarial Network
Generative Model
Variational Autoencoder