facebookresearch / open_lth

Related projects ⓘ

Alternatives and complementary repositories for open_lth

• google-research / rigl
  End-to-end training of sparse deep neural networks with little-to-no performance loss.
  ☆317Updated last year
• rahulvigneswaran / Lottery-Ticket-Hypothesis-in-Pytorch
  This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks"…
  ☆325Updated last year
• JJGO / shrinkbench
  PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.
  ☆424Updated last year
• ganguli-lab / Synaptic-Flow
  ☆219Updated 3 months ago
• uber-research / deconstructing-lottery-tickets
  ☆143Updated last year
• huggingface / pytorch_block_sparse
  Fast Block Sparse Matrices for Pytorch
  ☆545Updated 3 years ago
• TimDettmers / sparse_learning
  Sparse learning library and sparse momentum resources.
  ☆379Updated 2 years ago
• allenai / hidden-networks
  ☆186Updated 3 years ago
• amirgholami / PyHessian
  PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
  ☆687Updated 7 months ago
• google-research / lottery-ticket-hypothesis
  A reimplementation of "The Lottery Ticket Hypothesis" (Frankle and Carbin) on MNIST.
  ☆709Updated 4 years ago
• awwong1 / torchprof
  PyTorch layer-by-layer model profiler
  ☆608Updated 3 years ago
• noahgolmant / pytorch-hessian-eigenthings
  Efficient PyTorch Hessian eigendecomposition tools!
  ☆364Updated 8 months ago
• cybertronai / autograd-hacks
  ☆153Updated 2 years ago
• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆561Updated this week
• google-research / robustness_metrics
  ☆466Updated 3 months ago
• lucaslie / torchprune
  A research library for pytorch-based neural network pruning, compression, and more.
  ☆160Updated last year
• timgaripov / dnn-mode-connectivity
  Mode Connectivity and Fast Geometric Ensembles in PyTorch
  ☆265Updated 2 years ago
• BayesWatch / nas-without-training
  Code for Neural Architecture Search without Training (ICML 2021)
  ☆460Updated 3 years ago
• BayesWatch / cinic-10
  A drop-in replacement for CIFAR-10.
  ☆236Updated 3 years ago
• GATECH-EIC / Early-Bird-Tickets
  [ICLR 2020] Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks
  ☆137Updated 4 years ago
• naszilla / naszilla
  Naszilla is a Python library for neural architecture search (NAS)
  ☆304Updated last year
• f-dangel / cockpit
  Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
  ☆473Updated 2 years ago
• facebookresearch / higher
  higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…
  ☆1,593Updated 2 years ago
• google-research / nasbench
  NASBench: A Neural Architecture Search Dataset and Benchmark
  ☆685Updated last year
• facebookresearch / luckmatters
  Understanding Training Dynamics of Deep ReLU Networks
  ☆279Updated 3 weeks ago
• davidcpage / cifar10-fast
  ☆532Updated 2 years ago
• t-vi / pytorch-tvmisc
  Totally Versatile Miscellanea for Pytorch
  ☆468Updated 2 years ago
• amirgholami / adahessian
  ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
  ☆266Updated last year
• kakaobrain / torchlars
  A LARS implementation in PyTorch
  ☆335Updated 4 years ago
• awslabs / adatune
  Gradient based Hyperparameter Tuning library in PyTorch
  ☆289Updated 4 years ago