5 repos
Awesome GitHub RepositoriesModel Evaluation and Analysis
Tools and frameworks for measuring, benchmarking, and monitoring the performance and quality of machine learning models.
Explore 5 awesome GitHub repositories matching artificial intelligence & ml · Model Evaluation and Analysis. Refine with filters or upvote what's useful.
Awesome Model Evaluation and Analysis GitHub Repositories
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- dair-ai/Prompt-Engineering-Guide
This project is a comprehensive educational resource and knowledge base dedicated to the development and application of large language models and autonomous agentic systems. It provides a structured framework for understanding prompt engineering, context management, and the architectural patterns required to build task
MDXagentagentsai-agents - OpenHands/OpenHands
OpenHands is an autonomous agent framework designed for software engineering workflows. It provides a modular platform for orchestrating AI agents that reason, plan, and execute tasks within isolated, containerized development environments. By integrating with standard version control and development tools, the system
Pythonagentartificial-intelligencechatgpt - FoundationAgents/MetaGPT
MetaGPT is an agentic workflow engine and multi-agent orchestration framework designed to automate complex software engineering and data analysis tasks. It functions as an automated software factory that transforms high-level natural language requirements into functional web applications, technical documentation, and p
Pythonagentgptllm - ultralytics/ultralytics
Ultralytics is a comprehensive computer vision framework designed for training, validating, and deploying deep learning models across a wide range of visual recognition tasks. It provides a unified interface for core operations including object detection, instance segmentation, pose estimation, and image classification
Pythonclicomputer-visiondeep-learning - unslothai/unsloth
Unsloth is a high-performance training and inference platform designed to optimize the lifecycle of large language and multimodal models. It provides a comprehensive engine for fine-tuning, executing, and managing models locally, with a focus on reducing memory consumption and increasing compute speed on consumer-grade
Pythonagentdeepseekdeepseek-r1
Explore sub-tags
- AI Evaluation Frameworks2 sub-tagsSystems that automate the assessment of artificial intelligence outputs and reasoning quality through comparative analysis or secondary model verification.
- Artificial Intelligence Benchmarks3 sub-tagsStandardized tests and metrics used to measure the performance, reasoning capabilities, and context handling of artificial intelligence models.
- Language Model Observability2 sub-tagsTools for monitoring and tracking operational data such as token consumption, financial costs, and response latency in language model deployments.