Alternatives and similar repositories for pytorch-quantization-workshop:

Users that are interested in pytorch-quantization-workshop are comparing it to the libraries listed below

• reddragon / efficient-dl-survey-paper
  Efficient Deep Learning Survey Paper
  ☆33Updated last year
• ducha-aiki / hardnet-in-fastai2-and-kornia
  Re-implementation of local descriptor HardNet training in fasta2+kornia
  ☆21Updated 4 years ago
• YeonwooSung / GLOM
  PyTorch implementation of GLOM
  ☆21Updated 2 years ago
• theblackcat102 / H5Record
  Large dataset storage format for Pytorch
  ☆45Updated 3 years ago
• Quansight / pytest-pytorch
  pytest plugin for a better developer experience when working with the PyTorch test suite
  ☆44Updated 3 years ago
• soumik12345 / nerf.jax
  A minimal TPU compatible Jax implementation of NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis.
  ☆13Updated 2 years ago
• elliotwaite / pytorch-hooks-tutorial
  Examples of using PyTorch hooks, as covered in my YouTube tutorial video.
  ☆32Updated last year
• philschmid / optimum-static-quantization
  ☆28Updated last year
• Zasder3 / open_clip_juwels
  An open source implementation of CLIP.
  ☆32Updated 2 years ago
• sayakpaul / Training-BatchNorm-and-Only-BatchNorm
  Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.
  ☆29Updated 4 years ago
• MathInf / toroidal
  a lightweight transformer library for PyTorch
  ☆72Updated 3 years ago
• parmarsuraj99 / keras-transformer-flex
  Transformer block in tf.keras similar to PyTorch's nn.Transformer block.
  ☆9Updated 4 years ago
• tchaton / pytorch2lightning
  ☆15Updated 3 years ago
• SeanNaren / lightning-barlowtwins
  PyTorch Lightning implementation of Barlow Twins: Self-Supervised Learning via Redundancy Reduction.
  ☆12Updated 3 years ago
• oke-aditya / quickvision
  An Easy To Use PyTorch Computer Vision Library
  ☆51Updated last year
• Lightning-AI / ecosystem-ci
  Automate issue discovery for your projects against Lightning nightly and releases.
  ☆45Updated this week
• KiriLev / albu_scheduler
  Image data augmentation scheduler for albumentations transforms
  ☆19Updated 3 years ago
• nateraw / encoded-video
  Utilities for working with videos
  ☆13Updated 3 years ago
• ahthie7u / cockpit
  Code for the anonymous submission "Cockpit: A Practical Debugging Tool for Training Deep Neural Networks"
  ☆31Updated 4 years ago
• crypdick / timm-lr-scheduler-explorer
  A dashboard for exploring timm learning rate schedulers
  ☆19Updated last month
• sayakpaul / big_vision_experiments
  Contains my experiments with the `big_vision` repo to train ViTs on ImageNet-1k.
  ☆22Updated 2 years ago
• nestordemeure / flaxOptimizers
  A collection of optimizers, some arcane others well known, for Flax.
  ☆29Updated 3 years ago
• iKernels / transformers-lightning
  A collection of Models, Datasets, DataModules, Callbacks, Metrics, Losses and Loggers to better integrate pytorch-lightning with transfor…
  ☆47Updated last year
• FrancescoSaverioZuppichini / Loading-huge-PyTorch-models-with-linear-memory-consumption
  Little article showing how to load pytorch's models with linear memory consumption
  ☆34Updated 2 years ago
• fidelity / stoke
  A lightweight wrapper for PyTorch that provides a simple declarative API for context switching between devices, distributed modes, mixed-…
  ☆66Updated last year
• MonaNashaat / Asterisk
  Generating Training Data Made Easy
  ☆43Updated 4 years ago
• sayakpaul / Denoised-Smoothing-TF
  Minimal implementation of Denoised Smoothing (https://arxiv.org/abs/2003.01908) in TensorFlow.
  ☆20Updated 3 years ago
• sayakpaul / parameter-ensemble-differential-evolution
  Shows how to do parameter ensembling using differential evolution.
  ☆10Updated 3 years ago
• petuum / tuun
  Hyperparameter tuning via uncertainty modeling
  ☆46Updated 8 months ago