husimplicity

training

Reference implementations of MLPerf™ training benchmarks

prepacking

The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models"

ollama

Get up and running with Llama 3, Mistral, Gemma, and other large language models.

llama3

The official Meta Llama 3 GitHub site

dspy

DSPy: The framework for programming—not prompting—foundation models

llama_index

LlamaIndex is a data framework for your LLM applications

ndlib

Network Diffusion Library - (for NetworkX and iGraph)

mamba

Mamba SSM architecture

PygHO

A library for subgraph GNN based on pyg

dadaptation

D-Adaptation for SGD, Adam and AdaGrad

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

optuna

A hyperparameter optimization framework

graphlearn-for-pytorch

A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference.

benchmarking-gnns

Repository for benchmarking graph neural networks

llama

Inference code for Llama models

whisper

Robust Speech Recognition via Large-Scale Weak Supervision

auto-cot

Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)

Awesome-LLM

Awesome-LLM: a curated list of Large Language Model

Chain-of-ThoughtsPapers

A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".

text-generation-webui

A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.

torchdrug

A powerful and flexible machine learning platform for drug discovery

nvitop

An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.

libgrape-lite

🍇 A C++ library for parallel graph processing (GRAPE) 🍇

pyg_autoscale

Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch

arrow

Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing

v6d

vineyard (v6d): an in-memory immutable data manager. (Project under CNCF, TAG-Storage)

quiver-feature

High performance RDMA-based distributed feature collection component for training GNN model on EXTREMELY large graph

hiactor

Hiactor is a distributed C++ actor framework.

CAW

free-programming-books

:books: Freely available programming books