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The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
BCC - Tools for BPF-based Linux IO analysis, networking, monitoring, and more
💿 Free software that works great, and also happens to be open-source Python.
Seamless operability between C++11 and Python
Must-read papers on graph neural networks (GNN)
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive lea…
Porter enables you to package your application artifact, client tools, configuration and deployment logic together as an installer that you can distribute, and install with a single command.
OSV-SCALIBR: A library for Software Composition Analysis
A repository with IPython notebooks of algorithms implemented in Python.
History of symbolic execution (as well as SAT/SMT solving, fuzzing, and taint data tracking)
GraphGallery is a gallery for benchmarking Graph Neural Networks
Modular C++ Toolkit for Performance Analysis and Logging. Profiling API and Tools for C, C++, CUDA, Fortran, and Python. The C++ template API is essentially a framework to creating tools: it is des…
Castro (Compressible Astrophysics): An adaptive mesh, astrophysical compressible (radiation-, magneto-) hydrodynamics simulation code for massively parallel CPU and GPU architectures.
Next generation of ADIOS developed in the Exascale Computing Program
Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
Web scrapping and related analytics using Python tools
Arkouda (αρκούδα): Interactive Data Analytics at Supercomputing Scale 🐻
DataCamp Facebook Live Code Along Session 1: Enjoy.
Generate train.jsonl and valid.jsonl files to use for fine-tuning Mistral and other LLMs.