Alternatives and similar repositories for sparse_learning:

Users that are interested in sparse_learning 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.
  ☆321Updated 2 years ago
• JJGO / shrinkbench
  PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.
  ☆429Updated last year
• awwong1 / torchprof
  PyTorch layer-by-layer model profiler
  ☆606Updated 3 years ago
• facebookresearch / open_lth
  A repository in preparation for open-sourcing lottery ticket hypothesis code.
  ☆630Updated 2 years ago
• hongyi-zhang / Fixup
  A Re-implementation of Fixed-update Initialization
  ☆153Updated 5 years ago
• ganguli-lab / Synaptic-Flow
  ☆225Updated 8 months ago
• NVlabs / Taylor_pruning
  Pruning Neural Networks with Taylor criterion in Pytorch
  ☆317Updated 5 years ago
• karanchahal / distiller
  A large scale study of Knowledge Distillation.
  ☆220Updated 4 years ago
• facebookresearch / kill-the-bits
  Code for: "And the bit goes down: Revisiting the quantization of neural networks"
  ☆633Updated 4 years ago
• chester256 / Model-Compression-Papers
  Papers for deep neural network compression and acceleration
  ☆397Updated 3 years ago
• uber-research / deconstructing-lottery-tickets
  ☆144Updated 2 years ago
• pytorch / contrib
  Implementations of ideas from recent papers
  ☆393Updated 4 years ago
• enyac-group / single-path-nas
  Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours
  ☆395Updated 4 years ago
• antspy / quantized_distillation
  Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"
  ☆332Updated 8 months ago
• huggingface / pytorch_block_sparse
  Fast Block Sparse Matrices for Pytorch
  ☆545Updated 4 years ago
• youzhonghui / gate-decorator-pruning
  Code for the NuerIPS'19 paper "Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks"
  ☆196Updated 5 years ago
• eladhoffer / convNet.pytorch
  ConvNet training using pytorch
  ☆345Updated 4 years ago
• Eric-mingjie / rethinking-network-pruning
  Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)
  ☆1,515Updated 4 years ago
• Santosh-Gupta / SpeedTorch
  Library for faster pinned CPU <-> GPU transfer in Pytorch
  ☆685Updated 5 years ago
• namhoonlee / snip-public
  SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY
  ☆113Updated 5 years ago
• synxlin / nn-compression
  A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)
  ☆154Updated 9 months ago
• GATECH-EIC / Early-Bird-Tickets
  [ICLR 2020] Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks
  ☆137Updated 4 years ago
• noahgolmant / pytorch-hessian-eigenthings
  Efficient PyTorch Hessian eigendecomposition tools!
  ☆370Updated 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"…
  ☆330Updated last year
• michaelrzhang / lookahead
  Implementation for the Lookahead Optimizer.
  ☆240Updated 2 years ago
• liamcli / randomNAS_release
  Code release for paper "Random Search and Reproducibility for NAS"
  ☆167Updated 5 years ago
• naszilla / naszilla
  Naszilla is a Python library for neural architecture search (NAS)
  ☆309Updated 2 years ago
• google-research / nasbench
  NASBench: A Neural Architecture Search Dataset and Benchmark
  ☆695Updated last year
• mit-han-lab / hardware-aware-transformers
  [ACL'20] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
  ☆331Updated 9 months ago
• allenai / dnw
  Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)
  ☆137Updated 5 years ago