facebookresearch / enorm
Equi-normalization of Neural Networks
☆115Updated 5 years ago
Alternatives and similar repositories for enorm:
Users that are interested in enorm are comparing it to the libraries listed below
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆185Updated last year
- Neural networks training pipeline based on PyTorch☆311Updated 4 years ago
- PyTorch functions and utilities to make your life easier☆195Updated 4 years ago
- A simple, flexible, and extensible template for PyTorch. It's beautiful.☆187Updated last year
- PyTorchPipe (PTP) is a component-oriented framework for rapid prototyping and training of computational pipelines combining vision and la…☆226Updated 5 years ago
- Implementations of ideas from recent papers☆393Updated 4 years ago
- This repository is created to show the Neural Arithmetic Logic Unit implementation in python using Tensorflow. The code in this repo comp…☆43Updated 6 years ago
- Configure Python functions explicitly and safely☆126Updated 5 months ago
- Pure Python dashboard for monitoring deep learning experiments (like TensorBoard for PyTorch/JAX/etc, without a browser)☆95Updated 3 years ago
- Odds and Ends and Things I've implemented.☆78Updated 6 years ago
- Loss Patterns of Neural Networks☆84Updated 3 years ago
- ☆36Updated 6 years ago
- train on AWS☆75Updated 6 years ago
- ☆219Updated 6 years ago
- The first public PyTorch implementation of Attentive Recurrent Comparators☆146Updated 7 years ago
- Original PyTorch implementation of the Leap meta-learner (https://arxiv.org/abs/1812.01054) along with code for running the Omniglot expe…☆148Updated 2 years ago
- ☆113Updated 2 years ago
- Streamlined machine learning experiment management.☆107Updated 5 years ago
- Basic experiment framework for tensorflow.☆92Updated 3 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆112Updated 5 years ago
- A cleaner way to build neural networks for PyTorch.☆184Updated 5 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
- a lightweight and simple logger for Machine Learning☆127Updated 4 years ago
- Plot TensorBoard graphs fast☆51Updated 3 years ago
- A user-centered Python package for differentiable probabilistic inference☆202Updated 4 years ago
- PyTorch code for the "Deep Neural Networks with Box Convolutions" paper☆510Updated 5 years ago
- Support powerful visual logging in PyTorch.☆103Updated 7 years ago
- learning to search in pytorch☆110Updated 5 years ago
- Basic pytorch implementation of NAC/NALU from Neural Arithmetic Logic Units paper by trask et.al☆115Updated 6 years ago