Lists (4)
Stars
Official implementation of paper "Cumulative Reasoning With Large Language Models" (https://arxiv.org/abs/2308.04371)
The no-magic web API and microservices framework for Python developers, with an emphasis on reliability and performance at scale.
Cross-platform, customizable multimedia/video processing framework. With strong GPU acceleration, heterogeneous design, multi-language support, easy to use, multi-framework compatible and high perf…
A large-scale 7B pretraining language model developed by BaiChuan-Inc.
A 13B large language model developed by Baichuan Intelligent Technology
闻达：一个LLM调用平台。目标为针对特定环境的高效内容生成，同时考虑个人和中小企业的计算资源局限性，以及知识安全和私密性问题
The official GitHub page for the survey paper "A Survey of Large Language Models".
【LLMs九层妖塔】分享 LLMs在自然语言处理（ChatGLM、Chinese-LLaMA-Alpaca、小羊驼 Vicuna、LLaMA、GPT4ALL等）、信息检索（langchain）、语言合成、语言识别、多模态等领域（Stable Diffusion、MiniGPT-4、VisualGLM-6B、Ziya-Visual等）等 实战与经验。
Universal LLM Deployment Engine with ML Compilation
Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112
Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"
SuperCLUE: 中文通用大模型综合性基准 | A Benchmark for Foundation Models in Chinese
OceanBase is an enterprise distributed relational database with high availability, high performance, horizontal scalability, and compatibility with SQL standards.
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
🎒 飞书 ×（GPT-4 + GPT-4V + DALL·E-3 + Whisper）= 飞一般的工作体验 🚀 语音对话、角色扮演、多话题讨论、图片创作、表格分析、文档导出 🚀
An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks
State-of-the-Art Text Embeddings
yeayee / joyful-pandas
Forked from datawhalechina/joyful-pandasPandas中文教程