henryre / pytorch-fitmoduleLinks
Super simple fit method for PyTorch Modules
☆101Updated 5 years ago
Alternatives and similar repositories for pytorch-fitmodule
Users that are interested in pytorch-fitmodule are comparing it to the libraries listed below
Sorting:
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 7 years ago
- Python library for extracting mini-batches of data from a data source for the purpose of training neural networks☆87Updated 5 years ago
- Compare outputs between layers written in Tensorflow and layers written in Pytorch☆72Updated 7 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 7 years ago
- Highway networks implemented in PyTorch.☆55Updated 8 years ago
- a lightweight and simple logger for Machine Learning☆127Updated 4 years ago
- ☆62Updated 8 years ago
- A set of simple examples ported from PyTorch for Tensorflow Eager Execution☆73Updated 6 years ago
- Some extra features for pytorch.☆50Updated 8 years ago
- Code Samples from Neural Networks for NLP☆72Updated 7 years ago
- A PyTorch Implementation of "Quasi-Recurrent Neural Networks"☆46Updated 7 years ago
- PyTorch implementation of the NIPS'17 paper Training Deep Networks without Learning Rates Through Coin Betting.☆37Updated 7 years ago
- Plot loss and accuracy of neural networks over time☆63Updated 8 years ago
- Pytorch implementation of bytenet from "Neural Machine Translation in Linear Time" paper☆46Updated 7 years ago
- Gated Orthogonal Recurrent Unit implementation in tensorflow☆34Updated 6 years ago
- ☆61Updated 2 years ago
- A Keras inspired training utility for PyTorch☆38Updated 6 years ago
- PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks☆80Updated 7 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆186Updated last year
- Corrupted labels and label smoothing☆129Updated 7 years ago
- ☆80Updated 7 years ago
- Tools for loading standard data sets in machine learning☆203Updated 2 years ago
- Code for the paper "Learning sparse transformations through backpropagation"☆43Updated 5 years ago
- Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"☆65Updated 8 years ago
- My personal toolkit for PyTorch development.☆128Updated 7 years ago
- Some example scripts on pytorch☆198Updated 3 years ago
- My attempt at implementing CapsNet from the paper Dynamic Routing Between Capsules☆91Updated 7 years ago
- A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)☆59Updated 7 years ago
- Machine-generated summaries and highlights of the every accepted paper at Thirty-second Conference on Neural Information Processing Syste…☆71Updated 6 years ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆124Updated 6 years ago