Jing Li's starred repositories
Intrusion-Detection-System-Using-Machine-Learning
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
evaluation-preprocessing-methods
This repository contains complementary materials for the article Evaluating the Impact of Data Preprocessing Techniques on the Performance of Intrusion Detection Systems.
imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Hyperparameter-Optimization-of-Machine-Learning-Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
smote_variants
A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
awesome-machine-learning-interpretability
A curated list of awesome responsible machine learning resources.
Awesome-explainable-AI
A collection of research materials on explainable AI/ML
Intrusion-Detection-System-Using-CNN-and-Transfer-Learning
Code for intrusion detection system (IDS) development using CNN models and transfer learning
DTL-IDS-An-Optimized-Intrusion-Detection-Framework-using-DTL-and-GA
This repository presents the implemetation of a highly optimized Deep Transfer Learning (DTL) and Genetic Algorithm (GA) based intrusion detection framework.
zoofs
zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
evolutionary-optimization
A collection of black-box optimizers with a focus on evolutionary algorithms
chatgpt-prompts-for-academic-writing
This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.
machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
feature-engineering-and-feature-selection
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
The-Python-Graph-Gallery
A website displaying hundreds of charts made with Python
introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
open-interpreter
A natural language interface for computers
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
CSrankings
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.