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Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
CodeGeeX4-ALL-9B, a versatile model for all AI software development scenarios, including code completion, code interpreter, web search, function calling, repository-level Q&A and much more.
A SOTA open-source image editing model, which aims to provide comparable performance against the closed-source models like GPT-4o and Gemini 2 Flash.
Images of the PerxonX dataset and the original 3D human models of this dataset
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
Janus-Series: Unified Multimodal Understanding and Generation Models
Qodo-Cover: An AI-Powered Tool for Automated Test Generation and Code Coverage Enhancement! 💻🤖🧪🐞
we want to create a repo to illustrate usage of transformers in chinese
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…
Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com
Python package for easily interfacing with chat apps, with robust features and minimal code complexity.
本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）
Technical guide to making money and investing（最全赚钱投资指南）
Chinese typesetting infrastructure for LaTeX — ctex, xeCJK, and satellite packages (XeLaTeX / LuaLaTeX / pdfLaTeX / upLaTeX)
This package contains the sources to typeset "A short manual for TeXworks"
A web-based collaborative LaTeX editor
Removes large or troublesome blobs like git-filter-branch does, but faster. And written in Scala
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
Self-supervised adversarial masking for point clouds
《Machine Learning Systems: Design and Implementation》 (V2 is launching soon）
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Code and models for the paper "One Transformer Fits All Distributions in Multi-Modal Diffusion"