每个人都能看懂的大模型知识分享，LLMs春/秋招大模型面试前必看，让你和面试官侃侃而谈

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)

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…

[CVPR 2024] "MACE: Mass Concept Erasure in Diffusion Models" (Official Implementation)

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

Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline