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Starred repositories
A machine learning compiler for GPUs, CPUs, and ML accelerators
Create book from markdown files. Like Gitbook but implemented in Rust
Tensors and Dynamic neural networks in Python with strong GPU acceleration
ROCm / llvm-project
Forked from llvm/llvm-projectThis is the AMD-maintained fork of the LLVM git repository. This repository accepts pull requests and issues related to AMD fork-specific topics (amd/*). For all other issues/PRs, please submit ups…
Modular hardware build system
Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation. https://vlang.io
MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems
A retargetable MLIR-based machine learning compiler and runtime toolkit.
Servo aims to empower developers with a lightweight, high-performance alternative for embedding web technologies in applications.
Open-source software for volunteer computing and grid computing.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
High-efficiency floating-point neural network inference operators for mobile, server, and Web
A high-throughput and memory-efficient inference and serving engine for LLMs
eBPF implementation that runs on top of Windows
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Development repository for the Triton language and compiler
Modern embedded framework, using Rust and async.
F´ - A flight software and embedded systems framework
A tool and a library for bi-directional translation between SPIR-V and LLVM IR
Pony is an open-source, actor-model, capabilities-secure, high performance programming language
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
PyTorch native quantization and sparsity for training and inference
Powering AWS purpose-built machine learning chips. Blazing fast and cost effective, natively integrated into PyTorch and TensorFlow and integrated with your favorite AWS services