Stars
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
A framework for serving and evaluating LLM routers - save LLM costs without compromising quality
Spec-driven development (SDD) for AI coding assistants.
A high-throughput and memory-efficient inference and serving engine for LLMs
SGLang is a high-performance serving framework for large language models and multimodal models.
LeaderWorkerSet: An API for deploying a group of pods as a unit of replication
Secure, Fast, and Extensible Sandbox runtime for AI agents.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A Datacenter Scale Distributed Inference Serving Framework
TuShare is a utility for crawling historical data of China stocks
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
TradingAgents: Multi-Agents LLM Financial Trading Framework
股票行情指标算法（BOLL、MTM、CCI、OBV、TRIX，股票基础数据明细，股票收益算法）
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
基于多智能体LLM的中文金融交易框架 - TradingAgents中文增强版
A Cloud Native Batch System (Project under CNCF)
Secure and fast microVMs for serverless computing.
NVIDIA GPU metrics exporter for Prometheus leveraging DCGM
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
Cost-efficient and pluggable Infrastructure components for GenAI inference
Google Research
About Code release for "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis" (ICLR 2023), https://openreview.net/pdf?id=ju_Uqw384Oq
[ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"