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Taobao & Tmall Group
- Beijing , China ( People's Republic of ).
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20:27
(UTC +08:00) - http://hafrans.com
Highlights
Starred repositories
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Build resilient language agents as graphs.
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
Datasets, Transforms and Models specific to Computer Vision
ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型
阿布量化交易系统(股票,期权,期货,比特币,机器学习) 基于python的开源量化交易,量化投资架构
verl: Volcano Engine Reinforcement Learning for LLMs
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Qwen3-Coder is the code version of Qwen3, the large language model series developed by Qwen team, Alibaba Cloud.
基于多智能体LLM的中文金融交易框架 - TradingAgents中文增强版
Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc.
Open Source DeepWiki: AI-Powered Wiki Generator for GitHub/Gitlab/Bitbucket Repositories. Join the discord: https://discord.gg/gMwThUMeme
ChatGPT 中文指南🔥,ChatGPT 中文调教指南,指令指南,应用开发指南,精选资源清单,更好的使用 chatGPT 让你的生产力 up up up! 🚀
Hackable and optimized Transformers building blocks, supporting a composable construction.
Keras implementations of Generative Adversarial Networks.
GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)
CodeGeeX2: A More Powerful Multilingual Code Generation Model
Object detection, 3D detection, and pose estimation using center point detection:
The absolute trainer to light up AI agents.
This is an AI agent for Street Fighter II Champion Edition.
OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.
Progressive Growing of GANs for Improved Quality, Stability, and Variation
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
Count the MACs / FLOPs of your PyTorch model.
Unofficial Implementation of DragGAN - "Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold" (DragGAN 全功能实现,在线Demo,本地部署试用,代码、模型已全部开源,支持Windows, macOS, Linux)
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet…