A curated collection of datasets for Large Language Models (LLMs), covering medical AI, NLP, multimodal learning, instruction tuning, reasoning, code generation, and evaluation benchmarks.
GitHub repository with 138 stars and 39 forks.
Topics: benchmark, benchmarking, deep-learning, deep-neural-networks, deeplearning, genetic-algorithm, llm, llm-evaluation, llm-inference, machine-learning
Trending score 0.76, freshness score 0.00, stars gained +2, forks gained +0.
2026-06-15: 138 stars and 39 forks.
🔍 The hardest search benchmark in the wild — vague, multi-turn, proactive. 200 long-horizon tasks with persona-driven progressive disclosure, scored by verifiable schema-free knowledge-graph evaluation. No vibes, just triplet F1.
GitHub repository with 1,008 stars and 63 forks.
Trending score: 3.33; stars gained: +50; forks gained: +37.
Language: Python
Topics: agentic-ai, benchmark, llm, proactive-agent, search, search-agent
MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research · 浏览器里运行的安卓模拟器 · Browser-hosted Android Simulator · Verifiable Evaluation · Scalable Online RL Training
GitHub repository with 621 stars and 98 forks.
Trending score: 2.50; stars gained: +12; forks gained: +1.
Language: TypeScript
Topics: benchmark, mobile-agent, reinforcement-learning, vlm, agents, gym
Complete guide to running large language models locally on AMD Strix Halo / Ryzen AI MAX+ 395 with Radeon 8060S (gfx1151) and 96GB/128GB unified memory. Covers BIOS config, Ubuntu/kernel setup, Ollama, llama.cpp Vulkan/RADV, ROCm/HIP, vLLM, and 70B/120B GGUF evidence.
GitHub repository with 143 stars and 6 forks.
Trending score: 1.97; stars gained: +9; forks gained: +0.
Language: Python
Topics: amd, benchmark, gfx1151, llama-cpp, llm, local-llm
Open Source Continuous Inference Benchmark Research Platform Kimi K2.6, DeepSeekv4, GLM5 - GB200 NVL72 vs MI355X vs B200 vs GB300 NVL72 & soon™ TPUv6e/v7/Trainium2/3
GitHub repository with 1,099 stars and 195 forks.
Trending score: 1.96; stars gained: +4; forks gained: +1.
Language: Shell
Topics: ai, benchmark, llm, pytorch, sglang, vllm
Open survey and evidence map for AI agent evolution, self-evolving agents, memory, skills, harnesses, benchmarks, and agent-swarm systems.
GitHub repository with 228 stars and 10 forks.
Trending score: 1.27; stars gained: +1; forks gained: +1.
Language: JavaScript
Topics: agent-evolution, agent-framework, agent-swarm, ai-agent, ai-agents, ai-research
SkillLearnBench is the first benchmark for evaluating continual learning methods that automatically generate agent skills.
GitHub repository with 47 stars and 3 forks.
Trending score: 1.26; stars gained: +12; forks gained: +0.
Language: Python
Topics: agent-skills, automatic, benchmark, continual-learning, skill-generation
🔍 The hardest search benchmark in the wild — vague, multi-turn, proactive. 200 long-horizon tasks with persona-driven progressive disclosure, scored by verifiable schema-free knowledge-graph evaluation. No vibes, just triplet F1.
GitHub repository with 1,008 stars and 63 forks.
Trending score: 3.33; stars gained: +50; forks gained: +37.
Language: Python
Topics: agentic-ai, benchmark, llm, proactive-agent, search, search-agent
MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research · 浏览器里运行的安卓模拟器 · Browser-hosted Android Simulator · Verifiable Evaluation · Scalable Online RL Training
GitHub repository with 621 stars and 98 forks.
Trending score: 2.50; stars gained: +12; forks gained: +1.
Language: TypeScript
Topics: benchmark, mobile-agent, reinforcement-learning, vlm, agents, gym
Complete guide to running large language models locally on AMD Strix Halo / Ryzen AI MAX+ 395 with Radeon 8060S (gfx1151) and 96GB/128GB unified memory. Covers BIOS config, Ubuntu/kernel setup, Ollama, llama.cpp Vulkan/RADV, ROCm/HIP, vLLM, and 70B/120B GGUF evidence.
GitHub repository with 143 stars and 6 forks.
Trending score: 1.97; stars gained: +9; forks gained: +0.
Language: Python
Topics: amd, benchmark, gfx1151, llama-cpp, llm, local-llm
Open Source Continuous Inference Benchmark Research Platform Kimi K2.6, DeepSeekv4, GLM5 - GB200 NVL72 vs MI355X vs B200 vs GB300 NVL72 & soon™ TPUv6e/v7/Trainium2/3
GitHub repository with 1,099 stars and 195 forks.
Trending score: 1.96; stars gained: +4; forks gained: +1.
Language: Shell
Topics: ai, benchmark, llm, pytorch, sglang, vllm
Open survey and evidence map for AI agent evolution, self-evolving agents, memory, skills, harnesses, benchmarks, and agent-swarm systems.
GitHub repository with 228 stars and 10 forks.
Trending score: 1.27; stars gained: +1; forks gained: +1.
Language: JavaScript
Topics: agent-evolution, agent-framework, agent-swarm, ai-agent, ai-agents, ai-research
SkillLearnBench is the first benchmark for evaluating continual learning methods that automatically generate agent skills.
GitHub repository with 47 stars and 3 forks.
Trending score: 1.26; stars gained: +12; forks gained: +0.
Language: Python
Topics: agent-skills, automatic, benchmark, continual-learning, skill-generation