facebookresearch / CompilerGym
Reinforcement learning environments for compiler and program optimization tasks
☆928Updated 3 months ago
Alternatives and similar repositories for CompilerGym:
Users that are interested in CompilerGym are comparing it to the libraries listed below
- Infrastructure for Machine Learning Guided Optimization (MLGO) in LLVM.☆645Updated this week
- Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisati…☆1,486Updated last week
- The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.☆1,401Updated this week
- Backward compatible ML compute opset inspired by HLO/MHLO☆428Updated this week
- MLIR For Beginners tutorial☆874Updated 3 months ago
- Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure☆797Updated this week
- ☆402Updated this week
- C/C++ frontend for MLIR. Also features polyhedral optimizations, parallel optimizations, and more!☆506Updated 3 months ago
- The Tensor Algebra SuperOptimizer for Deep Learning☆696Updated last year
- A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations☆306Updated 7 months ago
- A Python Compiler Design Toolkit☆296Updated this week
- Python interface for MLIR - the Multi-Level Intermediate Representation☆235Updated last month
- A retargetable MLIR-based machine learning compiler and runtime toolkit.☆2,929Updated this week
- Awesome resources for GPUs☆522Updated last year
- An open-source efficient deep learning framework/compiler, written in python.☆668Updated this week
- common in-memory tensor structure☆930Updated 3 months ago
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,016Updated 9 months ago
- High-performance automatic differentiation of LLVM and MLIR.☆1,321Updated this week
- A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.☆972Updated 3 months ago
- A list of tutorials, paper, talks, and open-source projects for emerging compiler and architecture☆424Updated this week
- Instruction THroughput Estimator using MAchine Learning (ITHEMAL)☆145Updated 3 years ago
- A library for distributed ML training with PyTorch☆366Updated 2 years ago
- A new (MLIR based) high-level IR for clang.☆428Updated this week
- "Multi-Level Intermediate Representation" Compiler Infrastructure☆1,735Updated 3 years ago
- Exocompilation for productive programming of hardware accelerators☆315Updated this week
- A performant and modular runtime for TensorFlow☆759Updated last month
- RLMeta is a light-weight flexible framework for Distributed Reinforcement Learning Research.☆283Updated last year
- Intel® Extension for MLIR. A staging ground for MLIR dialects and tools for Intel devices using the MLIR toolchain.☆126Updated this week
- NeuroVectorizer is a framework that uses deep reinforcement learning (RL) to predict optimal vectorization compiler pragmas for for loops…☆91Updated 2 years ago
- ☆305Updated 3 weeks ago