The P programming language.

A high-performance distributed file system designed to address the challenges of AI training and inference workloads.

Material for gpu-mode lectures

A curated list of practical financial machine learning tools and applications.

Open source neural network chess engine with GPU acceleration and broad hardware support.

Image Visualization Tools (object detection, semantic and instance segmentation)

Visualize Ownership and Lifetimes in Rust

Code to train and evaluate Neural Attention Memory Models to obtain universally-applicable memory systems for transformers.

Machine Learning Toolkit for Kubernetes

Kubernetes-native Job Queueing

A Cloud Native Batch System (Project under CNCF)

Micro web-framework for COBOL

Unsupervised Domain Adaptation for Computer Vision Tasks

GPU Kernels

100 days of building Cuda kernels!

The only reasonable scripting engine for Go.

The Power of Prolog: Introduction to modern Prolog

World's fastest and most advanced password recovery utility

Turn any app into agent knowledge

Hypothesis is a powerful, flexible, and easy to use library for property-based testing.

Ongoing research training transformer models at scale

The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai

Bayesian optimization in PyTorch

A highly efficient implementation of Gaussian Processes in PyTorch

Google Cloud Client Libraries for Go.

Google Gen AI Python SDK provides an interface for developers to integrate Google's generative models into their Python applications.

depyf is a tool to help you understand and adapt to PyTorch compiler torch.compile.

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

Infinity ∞ : Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis

[NeurIPS 2024 Best Paper][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ult…