facebookresearch / open_lthLinks
A repository in preparation for open-sourcing lottery ticket hypothesis code.
☆632Updated 3 years ago
Alternatives and similar repositories for open_lth
Users that are interested in open_lth are comparing it to the libraries listed below
Sorting:
- Sparse learning library and sparse momentum resources.☆384Updated 3 years ago
- This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks"…☆333Updated last year
- Efficient PyTorch Hessian eigendecomposition tools!☆377Updated last year
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆326Updated 2 years ago
- PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.☆431Updated 2 years ago
- PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks☆756Updated 2 months ago
- ☆192Updated 4 years ago
- ☆144Updated 2 years ago
- Fast Block Sparse Matrices for Pytorch☆549Updated 4 years ago
- ☆226Updated last year
- A reimplementation of "The Lottery Ticket Hypothesis" (Frankle and Carbin) on MNIST.☆720Updated 5 years ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆589Updated 8 months ago
- Gradient based Hyperparameter Tuning library in PyTorch☆290Updated 5 years ago
- Code for Neural Architecture Search without Training (ICML 2021)☆472Updated 4 years ago
- Cockpit: A Practical Debugging Tool for Training Deep Neural Networks☆481Updated 3 years ago
- ☆469Updated 4 months ago
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆275Updated 2 years ago
- ☆157Updated 3 years ago
- ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning☆279Updated 2 years ago
- ☆605Updated 3 weeks ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,623Updated 3 years ago
- PyTorch layer-by-layer model profiler☆605Updated 4 years ago
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆425Updated 2 years ago
- [ICLR 2020] Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks☆138Updated 4 years ago
- Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using co…☆341Updated 2 years ago
- Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations☆285Updated 2 years ago
- Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch☆340Updated last year
- Unit Testing for pytorch, based on mltest☆312Updated 4 years ago
- A drop-in replacement for CIFAR-10.☆243Updated 4 years ago
- Implementation for the Lookahead Optimizer.☆242Updated 3 years ago