John LE's Projects
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Hands-on Deep Reinforcement Learning, published by Packt
added all materials
A paper list of object detection using deep learning.
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
Dirty COW
dl_ap wiki
Jitsi Meet on Docker
Unconstrained function minimization in Javascript
We used generative adversarial networks (GANs) to do anomaly detection for time series data.
Ghi chép về RDO
Git-based CTF
Reconnaissance tool for GitHub organizations
Working together on Google Colab platform
this repository accompanies the book "Grokking Deep Learning"
Hands-On Artificial Intelligence for Cybersecurity, publised by Packt
Hands-On Chatbots and Conversational UI Development, published by Packt
Hands-On Machine Learning for Cybersecurity, published by Packt
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
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.
Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.
Oxford Deep NLP 2017 course
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1500+页)和视频链接
Python code for common Machine Learning Algorithms
Applied generative adversarial networks (GANs) to do anomaly detection for time series data
Bonus materials, exercises, and example projects for our Python tutorials
This code is part of my post on Medium.
MiniCPS: a framework for Cyber-Physical Systems real-time simulation, built on top of mininet
VietAI Machine Learning Foundation Class Material