Stars
Create graphics with a hand-drawn, sketchy, appearance
Official repo for Textoon: Generating Vivid 2D Cartoon Characters from Text Descriptions
李航《统计学习方法》书的每一章节核心提炼以及Python代码实现,可以直接运行在Anaconda的Jupyter里面,从即日起抽时间不断更新,详见Readme.
User Profile-Based Long-Term Memory for AI Chatbot Applications.
虚拟货币(BTC、ETH)炒币量化系统项目。币安交易所-量化交易-网格策略实践。火币、OKEX热门交易所未来都支持。最简单收益最靠谱的项目,包教包会。
Binance Exchange API python implementation for automated trading
主要记录大语言大模型(LLMs) 算法(应用)工程师相关的知识及面试题
[AAAI 2025]👔IMAGDressing👔: Interactive Modular Apparel Generation for Virtual Dressing. It enables customizable human image generation with flexible garment, pose, and scene control, ensuring high …
记录 36Kr、bilibili、GitHub、抖音、掘金、微信读书平台从 2023-10-25 日至今的热点榜。每小时抓取一次数据,按天归档。非当年数据归档到 Releases 中
[COLM 2024] OpenAgents: An Open Platform for Language Agents in the Wild
AI 助手全套开源解决方案,自带运营管理后台,开箱即用。集成了 ChatGPT, Azure, ChatGLM,讯飞星火,文心一言等多个平台的大语言模型。支持 MJ AI 绘画,Stable Diffusion AI 绘画,微博热搜等插件工具。采用 Go + Vue3 + element-plus 实现。
Generative Models by Stability AI
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
Java实现中文本体自动构建工具:A program about how to build an ontology automatically itself.This program can translate chinese information into an standard ontology in OWL format
Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调
wmathor / nlp-tutorial
Forked from graykode/nlp-tutorialNatural Language Processing Tutorial for Deep Learning Researchers
骆驼(Luotuo): Open Sourced Chinese Language Models. Developed by 陈启源 @ 华中师范大学 & 李鲁鲁 @ 商汤科技 & 冷子昂 @ 商汤科技
BELLE: Be Everyone's Large Language model Engine(开源中文对话大模型)
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
A multi-party collaborative machine learning framework
Intel® AI Reference Models: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors and Intel® Data Center GPUs
Use BERT to train a classification model and deploy the model by tensorflow serving