Alternatives and similar repositories for CompilerGym

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

• google / ml-compiler-opt
  Infrastructure for Machine Learning Guided Optimization (MLGO) in LLVM.
  ☆697Updated this week
• llvm / torch-mlir
  The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
  ☆1,545Updated last week
• zwang4 / awesome-machine-learning-in-compilers
  Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisati…
  ☆1,550Updated this week
• openxla / stablehlo
  Backward compatible ML compute opset inspired by HLO/MHLO
  ☆483Updated this week
• j2kun / mlir-tutorial
  MLIR For Beginners tutorial
  ☆985Updated 3 months ago
• onnx / onnx-mlir
  Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure
  ☆868Updated this week
• ChrisCummins / ProGraML
  A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations
  ☆318Updated last year
• llvm / Polygeist
  C/C++ frontend for MLIR. Also features polyhedral optimizations, parallel optimizations, and more!
  ☆545Updated this week
• tensorflow / mlir-hlo
  ☆416Updated this week
• pytorch / torchdynamo
  A Python-level JIT compiler designed to make unmodified PyTorch programs faster.
  ☆1,046Updated last year
• iree-org / iree
  A retargetable MLIR-based machine learning compiler and runtime toolkit.
  ☆3,160Updated this week
• jiazhihao / TASO
  The Tensor Algebra SuperOptimizer for Deep Learning
  ☆714Updated 2 years ago
• spcl / pymlir
  Python interface for MLIR - the Multi-Level Intermediate Representation
  ☆257Updated 6 months ago
• hidet-org / hidet
  An open-source efficient deep learning framework/compiler, written in python.
  ☆700Updated this week
• xdslproject / xdsl
  A Python Compiler Design Toolkit
  ☆352Updated this week
• facebookresearch / rlmeta
  RLMeta is a light-weight flexible framework for Distributed Reinforcement Learning Research.
  ☆281Updated 2 years ago
• dmlc / dlpack
  common in-memory tensor structure
  ☆1,002Updated 3 weeks ago
• intel / neuro-vectorizer
  NeuroVectorizer is a framework that uses deep reinforcement learning (RL) to predict optimal vectorization compiler pragmas for for loops…
  ☆94Updated 2 years ago
• pytorch / tensorpipe
  A tensor-aware point-to-point communication primitive for machine learning
  ☆257Updated 2 years ago
• tensorflow / runtime
  A performant and modular runtime for TensorFlow
  ☆761Updated last month
• openxla / xla
  A machine learning compiler for GPUs, CPUs, and ML accelerators
  ☆3,207Updated this week
• tlc-pack / relax
  ☆194Updated 2 years ago
• facebookresearch / moolib
  A library for distributed ML training with PyTorch
  ☆366Updated 2 years ago
• mlc-ai / mlc-en
  ☆415Updated 7 months ago
• Jokeren / Awesome-GPU
  Awesome resources for GPUs
  ☆572Updated last year
• ithemal / Ithemal
  Instruction THroughput Estimator using MAchine Learning (ITHEMAL)
  ☆147Updated 3 years ago
• tqchen / ffi-navigator
  ☆240Updated 2 years ago
• microsoft / nnfusion
  A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.
  ☆986Updated 8 months ago
• pytorch / FBGEMM
  FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/
  ☆1,348Updated this week
• merrymercy / awesome-tensor-compilers
  A list of awesome compiler projects and papers for tensor computation and deep learning.
  ☆2,576Updated 7 months ago