Popular GitHub Repositories for Cross Dataset Evaluation

? Light and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows

Cross-platform, customizable ML solutions for live and streaming media.

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

基于 ChatGPT API 的划词翻译浏览器插件和跨平台桌面端应用 - Browser extension and cross-platform desktop application for translation based on ChatGPT API.

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view

Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.

pix2tex: Using a ViT to convert images of equations into LaTeX code.

? Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. ?YC W23

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)

? Scalable embedding, reasoning, ranking for images and sentences with CLIP

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

Supercharge Your LLM Application Evaluations ?

Open source annotation tool for machine learning practitioners.

The LLM Evaluation Framework

A powerful tool for creating fine-tuning datasets for LLM

A framework for few-shot evaluation of language models.