快速上手AI理论及应用实战：基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集，力求每一位能看懂并复现。

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum compu…

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

LLVIP: A Visible-infrared Paired Dataset for Low-light Vision

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

llms 大模型 笔记50篇 此仓库包含关于机器学习、深度学习、计算机视觉、自然语言处理、大模型 爬虫等领域 项目实战

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven explora…

Highly Accurate and Efficient Burn detection and Classification trained with Deep Learning Model

Data stream analytics: Implement online learning methods to address concept drift and model drift in data streams using the River library. Code for the paper entitled "PWPAE: An Ensemble Framework …

基于Python的numpy实现的简易深度学习框架，包括自动求导、优化器、layer等的实现。

几种召回算法的实现，可以作为模版在此基础上修改使用。

personal learning resources and learning notes

Practical and Real-world applications of ML based on the homework of Hung-yi Lee Machine Learning Course 2021

Using Tensorflow 2.X to solve problems from Andrew Ng's Deep Learning lessons.