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Stars
A Collection of Google Colab Notebooks for various projects
Adding guardrails to large language models.
A blazing fast AI Gateway with integrated guardrails. Route to 200+ LLMs, 50+ AI Guardrails with 1 fast & friendly API.
Open source platform for the machine learning lifecycle
🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
FULL v0, Cursor, Manus, Same.dev, Lovable, Devin, Replit Agent, Windsurf Agent, VSCode Agent, Dia Browser & Trae AI (And other Open Sourced) System Prompts, Tools & AI Models.
The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
Production-ready platform for agentic workflow development.
AI Agents & MCPs & AI Workflow Automation • (280+ MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)
Pruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient models with minimal overhead.
Code for finetuning TabPFN on one downstream tabular dataset.
🐍 Geometric Computer Vision Library for Spatial AI
streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL
Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization
The nnsight package enables interpreting and manipulating the internals of deep learned models.
SGLang is a fast serving framework for large language models and vision language models.
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
This is a simple demonstration of more advanced, agentic patterns built on top of the Realtime API.
MetaQuantus is an XAI performance tool to identify reliable evaluation metrics
Tools for understanding how transformer predictions are built layer-by-layer
DL Backtrace is a new explainablity technique for deep learning models that works for any modality and model type.
Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
Benchmark to Evaluate EXplainable AI
A unified library of state-of-the-art model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. It compresses deep learning models for downstream deployment…
A Comprehensive Toolkit for High-Quality PDF Content Extraction