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MapCoder: Multi-Agent Code Generation for Competitive Problem Solving
100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics
FaceChain is a deep-learning toolchain for generating your Digital-Twin.
21 Lessons, Get Started Building with Generative AI
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: …
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Llama中文社区，实时汇总最新Llama学习资料，构建最好的中文Llama大模型开源生态，完全开源可商用
My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT p…
Walk through how to build a langchain x streamlit app using GPT4All
An implementation of "Retentive Network: A Successor to Transformer for Large Language Models"
Meta-Transformer for Unified Multimodal Learning
paper: https://arxiv.org/abs/2307.02469 page: https://lynx-llm.github.io/
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
.NET library for the OpenAI service API by Betalgo Ranul
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
LibRerank is a toolkit for re-ranking algorithms. There are a number of re-ranking algorithms, such as PRM, DLCM, GSF, miDNN, SetRank, EGRerank, Seq2Slate.
MLNLP：本仓库整理人工智能会议（如 ACL、EMNLP、NAACL、COLING、AAAI、IJCAI、ICLR、NeurIPS、ICML 等）中开源代码的论文。
BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
推荐系统/计算广告相关仓库，个人博客https://jesse-csj.github.io/