:bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
- open-reid
- pytorch
- person-reidentification
- image-retrieval
Pre-trained Deep Learning models and demos (high quality and extremely fast)
- models
- caffemodel
- demo
- tensorflow-models
Simplify your onnx model
LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence https://arxiv.org/abs/2609.17488
Papers on Computational Advertising
🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
Visual analysis and diagnostic tools to facilitate machine learning model selection.
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
A Python module for learning all major algorithms
Python toolkit for quantitative finance: stock analysis, technical indicators, strategy backtesting, portfolio optimization, and financial modeling.
Massively Parallel Deep Reinforcement Learning. 🔥
⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.
A curated resource list for learning AI performance engineering, from GPU fundamentals to production inference.
LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.
A Claude Code / Codex plugin that helps you learn how to build while AI writes the code.
TranslatedTensorflow tutorial from basic to hard, 莫烦Python (Mo Fan Python, "Morvan Python") Chinese AI teaching
- tensorflow
- tensorflow-tutorials
- gan
- generative-adversarial-network
modular quant framework.
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun
Scalable and user friendly neural :brain: forecasting algorithms.
NeuralProphet: A simple forecasting package
LPIPS metric. pip install lpips
Symbolic Learning in Python and Julia
Visual localization made easy with hloc
- deep-learning
- visual-localization
- feature-matching
- image-retrieval