Alternatives and similar repositories for open_lth

Users that are interested in open_lth are comparing it to the libraries listed below

• google-research / rigl
  End-to-end training of sparse deep neural networks with little-to-no performance loss.
  ☆335Updated 3 years ago
• TimDettmers / sparse_learning
  Sparse learning library and sparse momentum resources.
  ☆385Updated 3 years ago
• noahgolmant / pytorch-hessian-eigenthings
  Efficient PyTorch Hessian eigendecomposition tools!
  ☆384Updated last year
• ganguli-lab / Synaptic-Flow
  ☆228Updated 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"…
  ☆342Updated 2 years ago
• uber-research / deconstructing-lottery-tickets
  ☆145Updated 2 years ago
• allenai / hidden-networks
  ☆194Updated this week
• JJGO / shrinkbench
  PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.
  ☆432Updated 2 years ago
• amirgholami / PyHessian
  PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
  ☆773Updated 7 months ago
• google-research / lottery-ticket-hypothesis
  A reimplementation of "The Lottery Ticket Hypothesis" (Frankle and Carbin) on MNIST.
  ☆725Updated 5 years ago
• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆604Updated 2 months ago
• google-research / robustness_metrics
  ☆472Updated last week
• huggingface / pytorch_block_sparse
  Fast Block Sparse Matrices for Pytorch
  ☆550Updated 5 years ago
• awslabs / adatune
  Gradient based Hyperparameter Tuning library in PyTorch
  ☆291Updated 5 years ago
• cybertronai / autograd-hacks
  ☆159Updated 3 years ago
• BayesWatch / nas-without-training
  Code for Neural Architecture Search without Training (ICML 2021)
  ☆474Updated 4 years ago
• f-dangel / cockpit
  Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
  ☆487Updated 3 years ago
• google-research / sam
  ☆619Updated last month
• facebookresearch / higher
  higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…
  ☆1,629Updated 3 years ago
• amirgholami / adahessian
  ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
  ☆283Updated 2 years ago
• timgaripov / dnn-mode-connectivity
  Mode Connectivity and Fast Geometric Ensembles in PyTorch
  ☆283Updated 3 years ago
• SirRob1997 / Crowded-Valley---Results
  This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"
  ☆184Updated 4 years ago
• BayesWatch / cinic-10
  A drop-in replacement for CIFAR-10.
  ☆247Updated 4 years ago
• davidcpage / cifar10-fast
  ☆539Updated 4 years ago
• naszilla / naszilla
  Naszilla is a Python library for neural architecture search (NAS)
  ☆316Updated 3 years ago
• GATECH-EIC / Early-Bird-Tickets
  [ICLR 2020] Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks
  ☆140Updated 5 years ago
• awwong1 / torchprof
  PyTorch layer-by-layer model profiler
  ☆607Updated 4 years ago
• wgrathwohl / JEM
  Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
  ☆430Updated 3 years ago
• frederick0329 / TracIn
  Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)
  ☆239Updated 3 years ago
• michaelrzhang / lookahead
  Implementation for the Lookahead Optimizer.
  ☆244Updated 3 years ago