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awesome-llm

Awesome-LLM: a curated list of Large Language Model

awesome-llmops

An awesome & curated list of best LLMOps tools for developers

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 optimisation

awesome-mlops

A curated list of references for MLOps

bisect-complex

bisect-simple

builder

Continuous builder and binary build scripts for pytorch, fork for testing changes.

dummy_layernorm_bench

Dummy benchmark code

fambench

Benchmarks to capture important workloads.

gloo

Collective communications library with various primitives for multi-machine training.

gpt-fast

Fast and hackable pytorch native transformer inference. Meant to be copied and modified

hello-world-docker

Hello world example dockerfile and build scripts.

jataylo

Config files for my GitHub profile.

kickstart.nvim

A launch point for your personal nvim configuration

llama-2.0

Inference code for LLaMA models

npbench

NPBench - A Benchmarking Suite for High-Performance NumPy

onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

pt2.0_tutorial

pt20_verification

ROCm functionality verification with inductor + triton

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

stablediffusion-2.0

High-Resolution Image Synthesis with Latent Diffusion Models

torch-build-script

transformers-2.0

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

transformers-bloom-inference-2.0

Fast Inference Solutions for BLOOM

triton

Development repository for the Triton language and compiler

util_scripts

Useful scripts in one place

vision

Datasets, Transforms and Models specific to Computer Vision

vllm-test

A high-throughput and memory-efficient inference and serving engine for LLMs