Alternatives and similar repositories for tvm-docker

Users that are interested in tvm-docker are comparing it to the libraries listed below

• octoml / synr
  A library for syntactically rewriting Python programs, pronounced (sinner).
  ☆69Updated 3 years ago
• VoVAllen / tf-dlpack
  DLPack for Tensorflow
  ☆35Updated 5 years ago
• octoml / octoml-profile
  Home for OctoML PyTorch Profiler
  ☆114Updated 2 years ago
• awslabs / lorien
  ☆43Updated last year
• bwasti / pytorch_compiler_tutorial
  Codebase associated with the PyTorch compiler tutorial
  ☆46Updated 5 years ago
• parasj / checkmate
  Training neural networks in TensorFlow 2.0 with 5x less memory
  ☆133Updated 3 years ago
• petuum / autodist
  Simple Distributed Deep Learning on TensorFlow
  ☆133Updated 2 months ago
• pytorch / torchdistx
  Torch Distributed Experimental
  ☆117Updated last year
• Lunderberg / tvmcon-2021
  Slides from 2021-12-15 talk, "TVM Developer Bootcamp – Writing Hardware Backends"
  ☆10Updated 3 years ago
• jiazhihao / sosp19ae
  Artifacts for SOSP'19 paper Optimizing Deep Learning Computation with Automatic Generation of Graph Substitutions
  ☆21Updated 3 years ago
• spcl / substation
  Research and development for optimizing transformers
  ☆129Updated 4 years ago
• ray-project / distml
  Distributed ML Optimizer
  ☆32Updated 4 years ago
• microsoft / dist-ir
  An IR for efficiently simulating distributed ML computation.
  ☆29Updated last year
• nod-ai / transformer-benchmarks
  benchmarking some transformer deployments
  ☆26Updated 2 years ago
• TalwalkarLab / paleo
  An analytical performance modeling tool for deep neural networks.
  ☆89Updated 4 years ago
• facebookresearch / fairring
  Fairring (FAIR + Herring) is a plug-in for PyTorch that provides a process group for distributed training that outperforms NCCL at large …
  ☆65Updated 3 years ago
• microsoft / tensorflow-rematerialization
  Implementation of a Tensorflow XLA rematerialization pass
  ☆15Updated 5 years ago
• facebookresearch / FBTT-Embedding
  This is a Tensor Train based compression library to compress sparse embedding tables used in large-scale machine learning models such as …
  ☆194Updated 3 years ago
• masahi / tvm-winograd
  Test winograd convolution written in TVM for CUDA and AMDGPU
  ☆41Updated 6 years ago
• ucbrise / hypersched
  Deadline-based hyperparameter tuning on RayTune.
  ☆31Updated 5 years ago
• Jokeren / triton-samples
  ☆28Updated 7 months ago
• pytorch / tensorpipe
  A tensor-aware point-to-point communication primitive for machine learning
  ☆264Updated 2 weeks ago
• awslabs / raf
  ☆144Updated 7 months ago
• awslabs / slapo
  A schedule language for large model training
  ☆149Updated last week
• comaniac / epoi
  Benchmark PyTorch Custom Operators
  ☆14Updated 2 years ago
• facebookresearch / FAMBench
  Benchmarks to capture important workloads.
  ☆31Updated 7 months ago
• mlcommons / training_results_v1.0
  This repository contains the results and code for the MLPerf™ Training v1.0 benchmark.
  ☆37Updated last year
• masahi / torchscript-to-tvm
  ☆69Updated 2 years ago
• uwsampl / relay-aot
  An experimental ahead of time compiler for Relay.
  ☆50Updated 5 years ago
• pytorch / torchsnapshot
  A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…
  ☆159Updated 2 months ago