🤘 awesome-semantic-segmentation

Supercharge Your LLM Application Evaluations 🚀

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

Test your prompts, agents, and RAGs. Red teaming, pentesting, and vulnerability scanning for LLMs. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line and CI/CD integration.

OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.

Arbitrary expression evaluation for golang

Python package for the evaluation of odometry and SLAM

Building a modern functional compiler from first principles. (http://dev.stephendiehl.com/fun/)

Klipse is a JavaScript plugin for embedding interactive code snippets in tech blogs.

SuperCLUE: 中文通用大模型综合性基准 | A Benchmark for Foundation Models in Chinese

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

A unified evaluation framework for large language models

An open-source visual programming environment for battle-testing prompts to LLMs.

UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured checks (covering language, code, embedding use-cases), perform root cause analysis on failure cases and give insights on how to resolve them.

🤗 Evaluate: A library for easily evaluating machine learning models and datasets.

🧊 Open source LLM-Observability Platform for Developers. One-line integration for monitoring, metrics, evals, agent tracing, prompt management, playground, etc. Supports OpenAI SDK, Vercel AI SDK, Anthropic SDK, LiteLLM, LLamaIndex, LangChain, and more. 🍓 YC W23

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

☁️ 🚀 📊 📈 Evaluating state of the art in AI

(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"

An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.