A Python package to assess and improve fairness of machine learning models.
AI 开源项目
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A unified orchestration layer for heterogeneous AI compute. It standardizes how to manage compute and run training and inference on GPU clouds, Kubernetes, VMs, or bare-metal clusters.
Ongoing research training transformer language models at scale, including: BERT & GPT-2
You're the boss, agents are your team. They handle tasks on their own, message each other, and review each other's work. You just watch the kanban board and give high-level commands. Codex/Claude/OpenCode/Cursor/Grok/Git
🏕️ Reproducible development environment for humans and agents
VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo
基于 Envoy 的 AI 网关,管理云原生环境中的 LLM 流量。
Mozilla 的统一多家 LLM 服务商的接口库。
Helios: Real Real-Time Long Video Generation Model
Vim plugin for LLM-assisted code/text completion
在 CPU 上也能快速生成图像的 Stable Diffusion 实现。
SIA is a Self Improving AI framework to autonomously improve the performance of any AI system (Model / Agent) on a benchmark task.
Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. Tracing · Evals · Simulations · Datasets · Gateway · Guardrails. Self-hostable. Apache 2.0.
The Agentic Framework of the PHP ecosystem to build production-ready AI driven applications. Connect components (LLMs, Tools, vector DBs, memory) to agents that interact with your data and UI.
MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.
Scalable toolkit for efficient model reinforcement
用深度学习构建分子动力学势函数。
ADR secures enterprise AI agents through observability, security benchmarking, and threat detection. Deployed at Uber.
Agentic LLM Vulnerability Scanner / AI red teaming kit 🧪
ggml speech-to-text inference for 16+ model families
ContextGem: Effortless LLM extraction from documents
Build LLM-powered applications in Ruby