Alternatives and similar repositories for rigl

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

• TimDettmers / sparse_learning
  Sparse learning library and sparse momentum resources.
  ☆381Updated 2 years ago
• uber-research / deconstructing-lottery-tickets
  ☆144Updated 2 years ago
• ganguli-lab / Synaptic-Flow
  ☆226Updated 9 months ago
• lucaslie / torchprune
  A research library for pytorch-based neural network pruning, compression, and more.
  ☆161Updated 2 years ago
• BayesWatch / nas-without-training
  Code for Neural Architecture Search without Training (ICML 2021)
  ☆465Updated 3 years ago
• JJGO / shrinkbench
  PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.
  ☆429Updated last year
• VITA-Group / TENAS
  [ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, …
  ☆168Updated 3 years ago
• huggingface / pytorch_block_sparse
  Fast Block Sparse Matrices for Pytorch
  ☆545Updated 4 years ago
• allenai / hidden-networks
  ☆191Updated 4 years ago
• GATECH-EIC / Early-Bird-Tickets
  [ICLR 2020] Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks
  ☆138Updated 4 years ago
• lottery-ticket / rewinding-iclr20-public
  ☆70Updated 5 years ago
• naszilla / naszilla
  Naszilla is a Python library for neural architecture search (NAS)
  ☆309Updated 2 years ago
• ptillet / torch-blocksparse
  Block-sparse primitives for PyTorch
  ☆155Updated 4 years ago
• facebookresearch / open_lth
  A repository in preparation for open-sourcing lottery ticket hypothesis code.
  ☆633Updated 2 years ago
• RAIVNLab / STR
  Soft Threshold Weight Reparameterization for Learnable Sparsity
  ☆89Updated 2 years ago
• amirgholami / adahessian
  ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
  ☆276Updated 2 years ago
• hongyi-zhang / Fixup
  A Re-implementation of Fixed-update Initialization
  ☆153Updated 5 years ago
• NVlabs / Taylor_pruning
  Pruning Neural Networks with Taylor criterion in Pytorch
  ☆318Updated 5 years ago
• liamcli / randomNAS_release
  Code release for paper "Random Search and Reproducibility for NAS"
  ☆167Updated 5 years ago
• allenai / dnw
  Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)
  ☆137Updated 5 years ago
• namhoonlee / snip-public
  SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY
  ☆114Updated 5 years ago
• HazyResearch / butterfly
  Butterfly matrix multiplication in PyTorch
  ☆170Updated last year
• alecwangcq / GraSP
  Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH
  ☆104Updated 5 years ago
• juliagusak / model-compression-and-acceleration-progress
  Repository to track the progress in model compression and acceleration
  ☆105Updated 3 years ago
• Tiiiger / QPyTorch
  Low Precision Arithmetic Simulation in PyTorch
  ☆277Updated 11 months ago
• antoyang / NAS-Benchmark
  [ICLR 2020] NAS evaluation is frustratingly hard
  ☆149Updated last year
• human-analysis / neural-architecture-transfer
  Neural Architecture Transfer (Arxiv'20), PyTorch Implementation
  ☆156Updated 5 years ago
• uber-research / permute-quantize-finetune
  Using ideas from product quantization for state-of-the-art neural network compression.
  ☆145Updated 3 years ago
• SirRob1997 / Crowded-Valley---Results
  This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"
  ☆180Updated 3 years ago
• utsaslab / MONeT
  MONeT framework for reducing memory consumption of DNN training
  ☆173Updated 4 years ago