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A machine learning compiler for GPUs, CPUs, and ML accelerators
Build RL environments for LLM training
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
SGLang is a fast serving framework for large language models and vision language models.
A high-throughput and memory-efficient inference and serving engine for LLMs
Repositories
9Build RL environments for LLM training
A machine learning compiler for GPUs, CPUs, and ML accelerators
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
SGLang is a fast serving framework for large language models and vision language models.
A high-throughput and memory-efficient inference and serving engine for LLMs
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.
Differentiate mathematical expressions at compile time
Lightweight fuzzy string search