henryre / pytorch-fitmoduleLinks
Super simple fit method for PyTorch Modules
☆102Updated 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:
- Compare outputs between layers written in Tensorflow and layers written in Pytorch☆72Updated 7 years ago
- Python library for extracting mini-batches of data from a data source for the purpose of training neural networks☆87Updated 6 years ago
- Some example scripts on pytorch☆197Updated 4 years ago
- Highway networks implemented in PyTorch.☆54Updated 8 years ago
- Videos of deep learning optimizers moving on 3D problem-landscapes☆107Updated last year
- a lightweight and simple logger for Machine Learning☆126Updated 5 years ago
- Some extra features for pytorch.☆50Updated 8 years ago
- Quick PyTorch introduction and tutorial. Targets computer vision, graphics and machine learning researchers eager to try a new framework.☆109Updated 6 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 7 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 7 years ago
- Code for the paper "Learning sparse transformations through backpropagation"☆43Updated 6 years ago
- PyTorch implementation of the NIPS'17 paper Training Deep Networks without Learning Rates Through Coin Betting.☆38Updated 7 years ago
- Tools for loading standard data sets in machine learning☆206Updated 3 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 7 years ago
- All My Pytorch projects reside here☆33Updated 8 years ago
- A Keras inspired training utility for PyTorch☆38Updated 7 years ago
- Experiments with differentiable stacks and queues in PyTorch☆145Updated 6 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆194Updated 2 years ago
- Pytorch implementation of bytenet from "Neural Machine Translation in Linear Time" paper☆46Updated 8 years ago
- ☆80Updated 7 years ago
- Generative Adversarial Networks in Keras☆46Updated 4 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 6 years ago
- Small Python library to automatically set CUDA_VISIBLE_DEVICES to the least loaded device on multi-GPU systems.☆111Updated 3 years ago
- ☆79Updated 8 years ago
- My personal toolkit for PyTorch development.☆128Updated 8 years ago
- numpy implementation of net 2 net from the paper Net2Net: Accelerating Learning via Knowledge Transfer http://arxiv.org/abs/1511.05641☆53Updated 9 years ago
- A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)☆60Updated 8 years ago
- A set of simple examples ported from PyTorch for Tensorflow Eager Execution☆73Updated 7 years ago
- Code Samples from Neural Networks for NLP☆72Updated 8 years ago
- Various experiments on the [Fashion-MNIST](https://github.com/zalandoresearch/fashion-mnist) dataset from Zalando☆31Updated 8 years ago