Alternatives and similar repositories for Progressive-Pruning

Users that are interested in Progressive-Pruning are comparing it to the libraries listed below

• BradMcDanel / sdgp
  ☆10Updated 3 years ago
• ayulockin / LossLandscape
  Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …
  ☆65Updated 5 years ago
• jiaweizzhao / ZerO-initialization
  ☆75Updated 2 years ago
• Deeplite / deeplite-profiler
  A collection of metrics to profile a single deep learning model or compare two different deep learning models
  ☆27Updated last year
• HomebrewML / HomebrewNLP-torch
  A case study of efficient training of large language models using commodity hardware.
  ☆68Updated 3 years ago
• GATECH-EIC / SuperTickets
  [ECCV 2022] SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning
  ☆21Updated 3 years ago
• sayakpaul / robustness-vit
  Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).
  ☆124Updated 2 years ago
• quentinf00 / article-memory-log
  Implémentation of the article **Deep Learning CUDA Memory Usage and Pytorch optimization tricks**
  ☆43Updated 5 years ago
• VITA-Group / Structure-LTH
  [ICML 2022] "Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets" by Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wa…
  ☆33Updated 2 years ago
• RAIVNLab / supsup
  Code for "Supermasks in Superposition"
  ☆124Updated last year
• hlml / fortuitous_forgetting
  ☆19Updated 3 years ago
• sayakpaul / keras-xla-benchmarks
  Presents comprehensive benchmarks of XLA-compatible pre-trained models in Keras.
  ☆37Updated 2 years ago
• apple / learning-compressible-subspaces
  ☆19Updated 3 years ago
• kshitij12345 / torchnnprofiler
  Context Manager to profile the forward and backward times of PyTorch's nn.Module
  ☆83Updated last year
• spcl / sparsity-in-deep-learning
  Bibtex for Sparsity in Deep Learning paper (https://arxiv.org/abs/2102.00554) - open for pull requests
  ☆46Updated 3 years ago
• chrundle / biprop
  Identify a binary weight or binary weight and activation subnetwork within a randomly initialized network by only pruning and binarizing …
  ☆52Updated 3 years ago
• princeton-nlp / DataMUX
  [NeurIPS 2022] DataMUX: Data Multiplexing for Neural Networks
  ☆60Updated 2 years ago
• HazyResearch / fly
  ☆213Updated 2 years ago
• wilson1yan / cs294-158-ssl
  ☆14Updated 3 years ago
• HazyResearch / butterfly
  Butterfly matrix multiplication in PyTorch
  ☆174Updated last year
• sayakpaul / Adaptive-Gradient-Clipping
  Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.
  ☆85Updated 4 years ago
• srush / triton-autodiff
  Experiment of using Tangent to autodiff triton
  ☆80Updated last year
• GATECH-EIC / Early-Bird-Tickets
  [ICLR 2020] Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks
  ☆138Updated 4 years ago
• elliotwaite / pytorch-hooks-tutorial
  Examples of using PyTorch hooks, as covered in my YouTube tutorial video.
  ☆37Updated last year
• mit-han-lab / neurips-micronet
  [JMLR'20] NeurIPS 2019 MicroNet Challenge Efficient Language Modeling, Champion
  ☆40Updated 4 years ago
• JeanKaddour / LAWA
  Latest Weight Averaging (NeurIPS HITY 2022)
  ☆31Updated 2 years ago
• sayakpaul / MLP-Mixer-CIFAR10
  Implements MLP-Mixer (https://arxiv.org/abs/2105.01601) with the CIFAR-10 dataset.
  ☆57Updated 3 years ago
• microsoft / fnl_paper
  Factorized Neural Layers
  ☆29Updated 2 years ago
• tanchongmin / DropNet
  DropNet: Reducing Neural Network Complexity via Iterative Pruning (ICML 2020)
  ☆17Updated 5 years ago
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆81Updated 2 years ago