The agent that grows with you

The swiss army knife of lossless video/audio editing

🚀 AI 全自动短视频引擎 | AI Fully Automated Short Video Engine

利用 AI 大模型，一键解说并剪辑视频

⭐AI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts.🎯 告别信息过载，你的 AI 舆情监控助手与热点筛选工具！聚合多平台热点 + RSS 订阅，支持关键词精准筛选。AI 智能筛选新闻 + AI 翻译 + AI 分析简报直推手机，也支持接入 MCP 架构…

[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant

We are committed to the open-sourcing quantitative knowledge, aiming to bridge the information gap between the domestic and international quantitative finance industries. 我们致力于量化知识的开源与汉化，打破国内外量化金融行…

🏋 Modern open-source fitness coaching platform. Create workout plans, track progress, and access a comprehensive exercise database.

An AI Hedge Fund Team

An AI Hedge Fund Team

A Survey of Reinforcement Learning for Large Reasoning Models

Get up and running with Kimi-K2.6, GLM-5.2, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

Open-Sora: Democratizing Efficient Video Production for All

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

The official GitHub page for the survey paper "A Survey of Large Language Models".

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

A Collection of Variational Autoencoders (VAE) in PyTorch.

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。

Must-read papers on prompt-based tuning for pre-trained language models.

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

Open Source Neural Machine Translation in Torch (deprecated)

Moses, the machine translation system

邱锡鹏《神经网络与深度学习》（蒲公英书）理论书 v2 与通识版

notes about machine learning

Embeddable C++17 Unicode library offering UTF encodings, general category info, simple and full casing, normalization forms, and combining marks stripping.

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

Neural machine translation and sequence learning using TensorFlow

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06