Alternatives and similar repositories for docs

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

• neuralmagic / sparsezoo
  Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
  ☆389Updated 5 months ago
• neuralmagic / sparsify
  ML model optimization product to accelerate inference.
  ☆324Updated 5 months ago
• neuralmagic / sparseml
  Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
  ☆2,147Updated 5 months ago
• neuralmagic / deepsparse
  Sparsity-aware deep learning inference runtime for CPUs
  ☆3,161Updated 5 months ago
• microsoft / archai
  Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
  ☆481Updated last year
• facebookresearch / recipes
  Recipes are a standard, well supported set of blueprints for machine learning engineers to rapidly train models using the latest research…
  ☆330Updated last week
• JJGO / shrinkbench
  PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.
  ☆431Updated 2 years ago
• lucaslie / torchprune
  A research library for pytorch-based neural network pruning, compression, and more.
  ☆163Updated 2 years ago
• pytorch / ort
  Accelerate PyTorch models with ONNX Runtime
  ☆366Updated 8 months ago
• cresset-template / cresset
  Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.
  ☆721Updated 10 months ago
• google-research / rigl
  End-to-end training of sparse deep neural networks with little-to-no performance loss.
  ☆329Updated 2 years ago
• pytorch / torchdynamo
  A Python-level JIT compiler designed to make unmodified PyTorch programs faster.
  ☆1,066Updated last year
• huggingface / pytorch_block_sparse
  Fast Block Sparse Matrices for Pytorch
  ☆548Updated 4 years ago
• NVIDIA / PyProf
  A GPU performance profiling tool for PyTorch models
  ☆508Updated 4 years ago
• pytorch / nestedtensor
  [Prototype] Tools for the concurrent manipulation of variably sized Tensors.
  ☆251Updated 3 years ago
• IntelLabs / Model-Compression-Research-Package
  A library for researching neural networks compression and acceleration methods.
  ☆140Updated 2 months ago
• meta-pytorch / workshops
  This is a repository for all workshop related materials.
  ☆232Updated last year
• FasterAI-Labs / fasterai
  FasterAI: Prune and Distill your models with FastAI and PyTorch
  ☆250Updated 3 weeks ago
• facebookresearch / ppuda
  Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021)
  ☆492Updated 2 years ago
• facebookresearch / bitsandbytes
  Library for 8-bit optimizers and quantization routines.
  ☆780Updated 3 years ago
• archinetai / surgeon-pytorch
  A library to inspect and extract intermediate layers of PyTorch models.
  ☆474Updated 3 years ago
• meta-pytorch / torchx
  TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and sup…
  ☆400Updated this week
• huggingface / nn_pruning
  Prune a model while finetuning or training.
  ☆403Updated 3 years ago
• graphcore / examples
  Example code and applications for machine learning on Graphcore IPUs
  ☆331Updated last year
• pytorch / benchmark
  TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.
  ☆995Updated this week
• google-research / robustness_metrics
  ☆471Updated last month
• facebookresearch / open_lth
  A repository in preparation for open-sourcing lottery ticket hypothesis code.
  ☆632Updated 3 years ago
• pytorch / functorch
  functorch is JAX-like composable function transforms for PyTorch.
  ☆1,436Updated 2 months ago
• SonySemiconductorSolutions / mct-model-optimization
  Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. Th…
  ☆425Updated this week
• decile-team / cords
  Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using co…
  ☆343Updated 2 years ago