Discover trending repositories tagged large-language-models, ranked by recent growth and activity.
Observal is a unified platform for agent distribution, observability and insights.
GitHub repository with 1,994 stars and 374 forks.
Trending score: 4.07; stars gained: +119; forks gained: +63.
Language: Python
Topics: cli-tool, evaluation, large-language-models, llm, llm-evaluation, llm-observability
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
GitHub repository with 149,231 stars and 9,190 forks.
Trending score: 3.50; stars gained: +115; forks gained: +18.
Language: Python
Topics: agents, chatgpt, generative-ai, large-language-models, multiagent, react-flow
Free LLM API keys for GPT-5.5, Claude, DeepSeek, Gemini, Grok — copy, paste, use. Updated 3-5x daily. No credit card needed.
GitHub repository with 1,534 stars and 157 forks.
Trending score: 3.38; stars gained: +67; forks gained: +6.
Language: Python
Topics: ai, api-key, api-keys, chatgpt, claude, deepseek
A straightforward method for training your LLM, from downloading data to generating text.
GitHub repository with 4,250 stars and 581 forks.
Trending score: 2.79; stars gained: +591; forks gained: +70.
Language: Python
Topics: gemini, large-language-models, llm, openai, training, transformers
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
GitHub repository with 25,460 stars and 2,829 forks.
Trending score: 2.66; stars gained: +20; forks gained: +5.
Language: MDX
Topics: nlp, question-answering, pytorch, semantic-search, information-retrieval, summarization
HRM-Text is a 1B text generation model based on the HRM architecture, strengthened by task completion and latent space reasoning.
GitHub repository with 1,042 stars and 96 forks.
Trending score: 2.51; stars gained: +23; forks gained: +4.
Language: Python
Topics: hierarchical-reasoning-model, hrm, large-language-models, pretraining
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
GitHub repository with 42,772 stars and 7,635 forks.
Trending score: 2.37; stars gained: +15; forks gained: +13.
Language: Python
Topics: data-science, deep-learning, deployment, distributed, hyperparameter-optimization, hyperparameter-search
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
GitHub repository with 36,178 stars and 5,112 forks.
Trending score: 1.96; stars gained: +77; forks gained: +9.
Language: Python
Topics: knowledge-graph, large-language-models, retrieval-augmented-generation, genai, graphrag, llm
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
GitHub repository with 16,980 stars and 4,249 forks.
Trending score: 1.87; stars gained: +8; forks gained: +6.
Language: Jupyter Notebook
Topics: generative-ai, llm, vertex-ai, langchain, gemini, gemini-api
Eagle: Frontier Vision-Language Models with Data-Centric Strategies
GitHub repository with 1,824 stars and 144 forks.
Trending score: 1.64; stars gained: +52; forks gained: +4.
Language: Python
Topics: demo, eagle, gpt4, huggingface, llama, llama3
Official implementation of paper "VLM³: Vision Language Models Are Native 3D Learners".
GitHub repository with 206 stars and 8 forks.
Trending score: 1.46; stars gained: +33; forks gained: +0.
Language: Jupyter Notebook
Topics: 3d-foundation-model, camera-pose-estimation, depth-estimation, image-matching, large-language-models, object-level-3d
A curated collection of papers and resources on On-Policy Distillation for Large Language Models.
GitHub repository with 251 stars and 6 forks.
Trending score: 1.44; stars gained: +31; forks gained: +3.
Language: Python
Topics: awesome-list, awesome-opd, awesomeopd, github-pages, knowledge-distillation, large-language-models
Ongoing research training transformer models at scale
GitHub repository with 16,590 stars and 4,032 forks.
Trending score: 1.35; stars gained: +25; forks gained: +8.
Language: Python
Topics: large-language-models, model-para, transformers
Molecode presents molecules as code and enables LLMs to operate and reason on chemistry directly.
GitHub repository with 90 stars and 2 forks.
Trending score: 1.31; stars gained: +21; forks gained: +0.
Language: Python
Topics: ai-agent, ai-for-science, chemistry, coding-agent, language-model, large-language-models
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
GitHub repository with 71,887 stars and 8,785 forks.
Trending score: 1.30; stars gained: +22; forks gained: +2.
Language: Python
Topics: agent, ai, deepseek, fine-tuning, gemma, gpt
🚀 Efficient implementations for emerging model architectures
GitHub repository with 5,187 stars and 548 forks.
Trending score: 1.28; stars gained: +12; forks gained: +2.
Language: Python
Topics: large-language-models, machine-learning-systems, natural-language-processing, sequence-modeling
Ultrafast serverless GPU inference, sandboxes, and background jobs
GitHub repository with 1,663 stars and 142 forks.
Trending score: 1.25; stars gained: +5; forks gained: -1.
Language: Go
Topics: autoscaler, cloudrun, cuda, developer-productivity, distributed-computing, faas
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
GitHub repository with 6,487 stars and 373 forks.
Trending score: 1.18; stars gained: +16; forks gained: -1.
Language: Python
Topics: data, data-analysis, data-pipeline, data-processing, data-science, data-visualization
🧑🚀 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 8,481 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: deepseek, fine-tuning, gemma2, gemma3, gpt, jax
Fast, lossless LLM inference via dual-view diffusion decoding.
GitHub repository with 408 stars and 15 forks.
Trending score: 0.93; stars gained: +1; forks gained: +0.
Language: Python
Topics: diffusion-language-models, efficient-inference, large-language-models, llm, llm-efficiency, model-architecture
Pocket Flow: Codebase to Tutorial
GitHub repository with 12,365 stars and 1,410 forks.
Trending score: 0.92; stars gained: +8; forks gained: +0.
Language: Python
Topics: coding, large-language-model, large-language-models, llm, llm-agent, llm-agents
A hands-on course for building modern LLMs from scratch in PyTorch, with 23 runnable Jupyter Notebooks covering tokenizers, attention, MoE, RLHF, inference, evaluation, and distillation.
GitHub repository with 37 stars and 9 forks.
Trending score: 0.87; stars gained: +1; forks gained: +1.
Language: Jupyter Notebook
Topics: ai, attention, finetune, gpt, large-language-models, llm
An Inference Operating System that reduces unnecessary LLM calls by structuring intelligence before scaling it.
GitHub repository with 18 stars and 20 forks.
Trending score: 0.71; stars gained: +4; forks gained: +1.
Language: Python
Topics: agent-framework, ai-infrastructure, cost-optimization, inference, json-schema, large-language-models