Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Graph Representation Learning | 168 | 5 years ago | 3 | mit | Python | |||||
Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018) | ||||||||||
Tmu | 104 | 4 months ago | 37 | January 11, 2023 | 19 | mit | Python | |||
Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause, Type III Feedback, focused negative sampling, multi-task classifier, autoencoder, literal budget, and one-vs-one multi-class classifier. TMU is written in Python with wrappers for C and CUDA-based clause evaluation and updating. | ||||||||||
Image_deionising_auto_encoder | 25 | 6 years ago | Python | |||||||
Noise removal from images using Convolutional autoencoder | ||||||||||
Cvae | 17 | 5 years ago | 1 | Python | ||||||
collective Variational Autoencoder | ||||||||||
Vae Cf | 9 | 5 years ago | apache-2.0 | Python | ||||||
Variational Autoencoder for Collaborative Filtering implementation in TensorFlow | ||||||||||
Autoencoder | 8 | 7 years ago | mit | Python | ||||||
Autoencoder using Theano library | ||||||||||
Unsup_video_lstm | 6 | 9 years ago | 2 | bsd-2-clause | Cuda | |||||
Reverse Oldification | 5 | 4 years ago | Jupyter Notebook | |||||||
Using Machine Learning to rejuvenate black and white images ! ~~ | ||||||||||
Simplydeep | 5 | 3 years ago | Jupyter Notebook | |||||||
A simple introduction to deep learning | ||||||||||
Chapter4 | 5 | 5 years ago | Jupyter Notebook | |||||||
Chapter 4: Basics of Deep Learning |