Stars
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
A high-performance distributed file system designed to address the challenges of AI training and inference workloads.
A bidirectional pipeline parallelism algorithm for computation-communication overlap in DeepSeek V3/R1 training.
DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling
FlashMLA: Efficient Multi-head Latent Attention Kernels
Meridian is an MMM framework that enables advertisers to set up and run their own in-house models.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
llama3 implementation one matrix multiplication at a time
The official PyTorch implementation of Google's Gemma models
This project converts the API of Anthropic's Claude model to the OpenAI Chat API format.
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
A Python package for probabilistic state space modeling with JAX
Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
Financial Sentiment Analysis with BERT
Example projects using the AWS CDK
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Streamlit — A faster way to build and share data apps.
Probabilistic Load Forecasting Based on Adaptive Online Learning (APLF)
The Prometheus monitoring system and time series database.
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Epidemiological Data from the COVID-19 Epidemic in Canada
Interactive Markov-chain Monte Carlo Javascript demos
Implementation of variational Bayes inference algorithms
Package implementing common state-space routines.
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.