Alternatives and similar repositories for pytorch-2.0-benchmark:

Users that are interested in pytorch-2.0-benchmark are comparing it to the libraries listed below

• lernapparat / torchhacks
  Hacks for PyTorch
  ☆19Updated 2 years ago
• alexzhang13 / Triton-Puzzles-Solutions
  Personal solutions to the Triton Puzzles
  ☆18Updated 9 months ago
• NVIDIA / free-threaded-python
  No-GIL Python environment featuring NVIDIA Deep Learning libraries.
  ☆59Updated 3 weeks ago
• kshitij12345 / torchnnprofiler
  Context Manager to profile the forward and backward times of PyTorch's nn.Module
  ☆83Updated last year
• ahennequ / pytorch-custom-mma
  ☆29Updated 2 years ago
• srush / triton-autodiff
  Experiment of using Tangent to autodiff triton
  ☆78Updated last year
• graphcore-research / out-of-the-box-fp8-training
  Demo of the unit_scaling library, showing how a model can be easily adapted to train in FP8.
  ☆45Updated 9 months ago
• lianakoleva / no-libtorch-compile
  ☆21Updated 2 months ago
• sayakpaul / BiT-jax2tf
  This repository hosts the code to port NumPy model weights of BiT-ResNets to TensorFlow SavedModel format.
  ☆14Updated 3 years ago
• srush / tangent
  Source-to-Source Debuggable Derivatives in Pure Python
  ☆15Updated last year
• lucidrains / rela-transformer
  Implementation of a Transformer using ReLA (Rectified Linear Attention) from https://arxiv.org/abs/2104.07012
  ☆49Updated 3 years ago
• facebookresearch / MODel_opt
  Memory Optimizations for Deep Learning (ICML 2023)
  ☆64Updated last year
• buttercutter / Mamba_SSM
  A simple implementation of [Mamba: Linear-Time Sequence Modeling with Selective State Spaces](https://arxiv.org/abs/2312.00752)
  ☆21Updated last year
• lucidrains / autoregressive-linear-attention-cuda
  CUDA implementation of autoregressive linear attention, with all the latest research findings
  ☆44Updated last year
• Jokeren / triton-samples
  ☆27Updated 3 months ago
• habanero-lab / APPy
  APPy (Annotated Parallelism for Python) enables users to annotate loops and tensor expressions in Python with compiler directives akin to…
  ☆23Updated last week
• vedantroy / gpu_kernels
  ☆26Updated last year
• rlin27 / DeBut
  Codes of the paper Deformable Butterfly: A Highly Structured and Sparse Linear Transform.
  ☆12Updated 3 years ago
• Doraemonzzz / Awesome-Triton-Resources
  Awesome Triton Resources
  ☆27Updated last week
• amirzandieh / HyperAttention
  Triton Implementation of HyperAttention Algorithm
  ☆47Updated last year
• IST-DASLab / QIGen
  Repository for CPU Kernel Generation for LLM Inference
  ☆26Updated last year
• GindaChen / FlexFlashAttention3
  FlexAttention w/ FlashAttention3 Support
  ☆26Updated 7 months ago
• facebookexperimental / protoquant
  Prototype routines for GPU quantization written using PyTorch.
  ☆21Updated 2 months ago
• pytorch / torchdistx
  Torch Distributed Experimental
  ☆115Updated 9 months ago
• HabanaAI / Megatron-DeepSpeed
  Intel Gaudi's Megatron DeepSpeed Large Language Models for training
  ☆13Updated 4 months ago
• tanyuqian / redco
  NAACL '24 (Best Demo Paper RunnerUp) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference
  ☆65Updated 5 months ago
• UmerHA / triton_util
  Make triton easier
  ☆47Updated 10 months ago
• davisyoshida / abnormal-floats
  Code for the note "NF4 Isn't Information Theoretically Optimal (and that's Good)
  ☆18Updated last year
• alvarobartt / safejax
  Serialize JAX, Flax, Haiku, or Objax model params with 🤗`safetensors`
  ☆44Updated 11 months ago
• gau-nernst / quantized-training
  Explore training for quantized models
  ☆18Updated 4 months ago