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Duanhongwei1
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Machine Learning in Cybersecurity
AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for…
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
《剑指 Offer》 Python, Java, C++ 解题代码，LeetBook《图解算法数据结构》配套代码仓
Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Tr…
Natural Language Processing Tutorial for Deep Learning Researchers
🔥Highlighting the top ML papers every week.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
自然语言处理领域下的相关论文（附阅读笔记），复现模型以及数据处理等（代码含TensorFlow和PyTorch两版本）
深度学习入门教程, 优秀文章, Deep Learning Tutorial
周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！
Awesome Large Language Models for Vulnerability Detection
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
温州大学《机器学习》课程资料（代码、课件等）
Code accompanying the book "Machine Learning for Hackers"
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 roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
Open source platform for the machine learning lifecycle
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
《机器学习》（西瓜书）代码实战
bert-base-chinese example
