sanecz/mistral-graph
Tool for visualising a mistral v2 workflow (openstack)
GitHub repository with 5 stars and 1 forks.
Language: Python
Topics: mistral, openstack, workflow, graph, python
Tool for visualising a mistral v2 workflow (openstack)
GitHub repository with 5 stars and 1 forks.
Language: Python
Topics: mistral, openstack, workflow, graph, python
2026-06-05: 5 stars and 1 forks.
A simple, performant and scalable Jax LLM!
GitHub repository with 2,309 stars and 527 forks.
Trending score: 0.98; stars gained: +1; forks gained: +0.
Language: Python
Topics: large-language-models, llm, gpt, deepseek, fine-tuning, gemma2
Efficient Triton Kernels for LLM Training
GitHub repository with 6,415 stars and 535 forks.
Trending score: 0.93; stars gained: +8; forks gained: +0.
Language: Python
Topics: llm-training, triton, finetuning, gemma2, llama, llama3
Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.
GitHub repository with 9,338 stars and 832 forks.
Trending score: 0.92; stars gained: +6; forks gained: +1.
Language: Python
Topics: artificial-intelligence, chatglm, deployment, flan-t5, gemma, ggml
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
GitHub repository with 12,347 stars and 811 forks.
Trending score: 0.60; stars gained: +3; forks gained: +1.
Language: Python
Topics: bentoml, fine-tuning, llama, llama2, llama3-1, llama3-2
Production-grade LLM Evaluation & Benchmarking Framework — GPT-4, Claude, Gemini, Mistral. Accuracy, latency, cost, hallucination, reasoning metrics.
GitHub repository with 12 stars and 0 forks.
Trending score: 0.28; stars gained: +1; forks gained: +0.
Language: Python
Topics: accuracy, ai, benchmarking, claude, fastapi, gemini
A Python library powered by Language Models (LLMs) for conversational data discovery and analysis.
GitHub repository with 776 stars and 83 forks.
Trending score: 0.11; stars gained: +0; forks gained: +0.
Language: Python
Topics: llm, openai-api, pandas, python, ai, data-analysis
The agent that grows with you
GitHub repository with 181,960 stars and 31,220 forks.
Trending score: 5.95; stars gained: +1,867; forks gained: +361.
Language: Python
Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
GitHub repository with 13,768 stars and 870 forks.
Trending score: 5.69; stars gained: +2,829; forks gained: +175.
Language: Python
Topics: agent, ai, anthropic, compression, context-engineering, context-window
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GitHub repository with 27,548 stars and 2,267 forks.
Trending score: 5.52; stars gained: +1,079; forks gained: +89.
Language: Python
Topics: academic-pipeline, academic-writing, ai-research, claude, claude-code, literature-review
Learn it. Build it. Ship it for others.
GitHub repository with 28,622 stars and 4,680 forks.
Trending score: 5.32; stars gained: +1,261; forks gained: +238.
Language: Python
Topics: agents, ai, ai-agents, ai-engineering, computer-vision, course
GitHub repository with 30,060 stars and 4,235 forks.
Trending score: 4.88; stars gained: +688; forks gained: +114.
Language: Python
An opinionated list of Python frameworks, libraries, tools, and resources
GitHub repository with 301,396 stars and 28,042 forks.
Trending score: 4.60; stars gained: +518; forks gained: +24.
Language: Python
Topics: awesome, python, collections, python-frameworks, python-libraries, python-tools
Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
GitHub repository with 173,232 stars and 16,450 forks.
Trending score: 3.96; stars gained: +222; forks gained: +40.
Language: Go
Topics: llama, llm, llms, go, golang, ollama
🧑🚀 全世界最好的LLM资料总结(多模态生成、Agent、辅助编程、AI审稿、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型) | Summary of the world's best LLM resources.
GitHub repository with 8,483 stars and 887 forks.
Trending score: 1.12; stars gained: +10; forks gained: +2.
Topics: awesome-list, book, course, large-language-models, llama, llm
A simple, performant and scalable Jax LLM!
GitHub repository with 2,309 stars and 527 forks.
Trending score: 0.98; stars gained: +1; forks gained: +0.
Language: Python
Topics: large-language-models, llm, gpt, deepseek, fine-tuning, gemma2
A single, beautiful Ruby framework for all major AI providers. Easily build chatbots, AI agents, RAG applications, content generators, and every AI workflow you can think of.
GitHub repository with 3,981 stars and 452 forks.
Trending score: 0.97; stars gained: +5; forks gained: +0.
Language: Ruby
Topics: agents, ai, anthropic, chatgpt, claude, deepseek
Efficient Triton Kernels for LLM Training
GitHub repository with 6,415 stars and 535 forks.
Trending score: 0.93; stars gained: +8; forks gained: +0.
Language: Python
Topics: llm-training, triton, finetuning, gemma2, llama, llama3
Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.
GitHub repository with 9,338 stars and 832 forks.
Trending score: 0.92; stars gained: +6; forks gained: +1.
Language: Python
Topics: artificial-intelligence, chatglm, deployment, flan-t5, gemma, ggml