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followers: 20.0 following: 27.0 repos: 33.0 gists: 0.0

Name: Jing Li

Type: User

Company: UTM

Bio: I'm in my PhD journey in computer science, and this is my playground where I can experiment with new ideas and share what I've learned.

Location: HangZhou

Hi there 👋

😄 My name is Jing, and I'm in my Ph.D. journey in Computer Science.

I'm currently working on an intelligent security framework for the IoT ecosystem utilizing machine learning and deep learning.
In order to implement this security model, a wide range of multidisciplinary expertise including cyber security, the Internet of things, intrusion detection and prevention, anomaly detection, machine learning, and deep learning must be studied and put into practice.
Therefore, thanks to the GitHub provides the playground for me to create and maintain multiple knowledge repositories.

📚 Here are some topics in my repos:

📚 The Things of Ph.D. Journey: All the things involving research knowledge, publication, practical skills, awesome courses, domain area expertise, and all the necessary and interesting things will be collected and synthesized for those who want to try and pursue the Ph.D. journey (will keep updating).
📚 Daily Literature Review: This is the repository for daily literature reviews to collect the-state-of-the art ideas and methodologies in academia and provide future research directions.
🔭 AI Tools for Research: Here I keep collecting the AI tools and sharing the experience to boost our research works.
📫 ChatGPT for Research: Repo for the stuff created by ChatGPT, let's see how ChatGPT can help with research work.
🌱 Construction of IoT Security Frameworks: This is the coding practice repo for constructing end-to-end machine learning and deep learning-based security frameworks for IoT security.
👯 Awesome AI One-Click-Deployment: This is the repo for one-click or simple deployment of AI projects and applications, such as Auto-GPT, Auto-GPT-NextWeb etc.
📫 Awesome ML for Cybersecurity: A curated list of amazingly awesome tools and resources related to the use of machine learning for cyber security.

Jing Li's Projects

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

ai-tools-for-research

Share all the AI tools for research

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, ... 🧠

awesome-ai-one-click-deployment

This is the repo for one-click or simple deployment of AI projects and applications

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-ml-for-cybersecurity

:octocat: Machine Learning for Cyber Security

chatgpt-for-research

Let's see how ChatGPT can help research work!

chatlib

code-base-for-research

This is coding samples which can be used for research purpose.

course_learning

The related code, notion or personal experience when learning courses

cyber-security

Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities

datasets

Networking and IoT Datasets for Research

drjing.github.io

github-learning

goldboy225

Config files for my GitHub profile.

hands-on-machine-learning-for-cyber-security

Hands-On Machine Learning for Cybersecurity, published by Packt

handson-ml3

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.

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

intelligent-iot-security-frameworks

This is the coding practice for AI on IoT security, or the state-of-the art machine learning and deep learning techniques to construct an intelligent security model for the Internet of Things.