Repository Index

Tensors and Dynamic neural networks in Python with strong GPU acceleration

• neural-network
• autograd
• gpu
• numpy

AirLLM 2.8T LLM inference with single 4GB GPU

• chinese-nlp
• finetune
• generative-ai
• instruct-gpt

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

• python
• deep-learning
• artificial-intelligence
• ai

The fastai deep learning library

• deep-learning
• machine-learning
• pytorch
• python

A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support

• python
• compiler
• llvm
• high-performance

Open3D: A Modern Library for 3D Data Processing

• mesh-processing
• computer-graphics
• opengl
• cpp

Solve puzzles. Learn CUDA.

• cuda
• machine-learning
• puzzles

NumPy & SciPy for GPU

• cuda
• cudnn
• cublas
• cusolver

cuDF - GPU DataFrame Library

• gpu
• rapids
• cudf
• arrow

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

• machine-learning
• decision-trees
• gradient-boosting
• gbm

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

• h2o
• machine-learning
• data-science
• deep-learning

Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.

• webgpu
• deep-learning
• stable-diffusion
• web-assembly

Up to 100x faster strings for C, C++, CUDA, Python, Rust, Swift, JS, & Go, leveraging NEON, AVX2, AVX-512, SVE, GPGPU, & SWAR to accelerate search, hashing, sorting, edit distances, sketches, and memory ops 🦖

• simd
• dataset
• string
• string-manipulation

🛠 All-in-one web-based IDE specialized for machine learning and data science.

• machine-learning
• deep-learning
• data-science
• docker

Beautiful, open source, WebGPU-based charting library

• chart-library
• charting-library
• data-analysis
• webgpu

PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

• graph
• visualization
• gpu
• graphistry

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

• machine-learning
• python
• statistics
• scikit-learn

ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.

⚡ Datoviz: high-performance GPU rendering for scientific data visualization

• visualization
• graphics
• data-visualization
• scientific-visualization

High-performance Bayesian Data Analysis on the GPU in Clojure

• clojure
• bayesian-inference
• bayesian-data-analysis
• gpu-computing

Open source math and physics engine that executes MATLAB-syntax code. Features a modern compiler, automatic GPU acceleration for large calculations, and support for math on geometry / FEA calculations.

• matlab
• rust
• jit-compiler
• linear-algebra

Go's answer to pandas + scikit-learn: a batteries-included data analysis library with dataframes, statistics, machine learning, quant, and GPU acceleration. Run Python with seamless two-way variable sharing, or explore data straight from the Insyra CLI.

• parallel
• data-science
• go-echarts
• data-visualization