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

• kshitij12345 / torchnnprofiler
  Context Manager to profile the forward and backward times of PyTorch's nn.Module
  ☆83Updated 2 years ago
• lianakoleva / no-libtorch-compile
  ☆21Updated 9 months ago
• 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.
  ☆46Updated last year
• srush / triton-autodiff
  Experiment of using Tangent to autodiff triton
  ☆81Updated last year
• NVIDIA / free-threaded-python
  No-GIL Python environment featuring NVIDIA Deep Learning libraries.
  ☆69Updated 8 months ago
• pytorch / torchdistx
  Torch Distributed Experimental
  ☆117Updated last year
• facebookexperimental / protoquant
  Prototype routines for GPU quantization written using PyTorch.
  ☆21Updated 4 months ago
• lernapparat / torchhacks
  Hacks for PyTorch
  ☆19Updated 2 years ago
• softmax1 / Flash-Attention-Softmax-N
  CUDA and Triton implementations of Flash Attention with SoftmaxN.
  ☆73Updated last year
• GindaChen / FlexFlashAttention3
  FlexAttention w/ FlashAttention3 Support
  ☆27Updated last year
• nod-ai / transformer-benchmarks
  benchmarking some transformer deployments
  ☆26Updated last week
• habanero-lab / APPy
  APPy (Annotated Parallelism for Python) enables users to annotate loops and tensor expressions in Python with compiler directives akin to…
  ☆27Updated this week
• lucidrains / autoregressive-linear-attention-cuda
  CUDA implementation of autoregressive linear attention, with all the latest research findings
  ☆46Updated 2 years ago
• srush / tangent
  Source-to-Source Debuggable Derivatives in Pure Python
  ☆15Updated last year
• drisspg / transformer_nuggets
  A place to store reusable transformer components of my own creation or found on the interwebs
  ☆63Updated 2 weeks ago
• meta-pytorch / superblock
  A block oriented training approach for inference time optimization.
  ☆34Updated last year
• rlin27 / DeBut
  Codes of the paper Deformable Butterfly: A Highly Structured and Sparse Linear Transform.
  ☆13Updated 4 years ago
• sdpython / mlprodict
  Productionize machine learning predictions, with ONNX or without
  ☆66Updated last year
• BlinkDL / LinearAttentionArena
  Here we will test various linear attention designs.
  ☆62Updated last year
• UmerHA / triton_util
  Make triton easier
  ☆49Updated last year
• emalach / LinearLM
  Code for the paper: https://arxiv.org/pdf/2309.06979.pdf
  ☆21Updated last year
• HabanaAI / Megatron-DeepSpeed
  Intel Gaudi's Megatron DeepSpeed Large Language Models for training
  ☆16Updated last year
• onnx / steering-committee
  Notes and artifacts from the ONNX steering committee
  ☆27Updated this week
• davisyoshida / abnormal-floats
  Code for the note "NF4 Isn't Information Theoretically Optimal (and that's Good)
  ☆21Updated 2 years ago
• ezyang / torchdbg
  PyTorch centric eager mode debugger
  ☆48Updated last year
• Michaelvll / llm-ie-benchmarks
  A collection of reproducible inference engine benchmarks
  ☆38Updated 8 months ago
• sustcsonglin / gated_linear_attention_layer
  ☆32Updated last year
• renll / SeqBoat
  [NeurIPS 2023] Sparse Modular Activation for Efficient Sequence Modeling
  ☆40Updated 2 years ago
• BBuf / flash-rwkv
  ☆32Updated last year
• aws-neuron / aws-neuron-reference-for-megatron-lm
  ☆14Updated 2 years ago