Pinned Repositories
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
awesome-kan
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.
awesome-mpc
A curated list of multi party computation resources and links.
berkeley-stat-157
Homepage for STAT 157 at UC Berkeley
blockchain_conference_paper
The existing blockchain-related academic papers. All papers are sorted according to the conference and published year. Welcome developers or researchers to add more published papers to this list.
CS7320-AI
Examples for an AI course following the textbook Artificial Intelligence: A Modern Approach by Russell and Norvig.
DeepLearning
Lecture slides for study about "Deep Learning" written by Ian Goodfellow, Yoshua Bengio and Aaron Courville
DeepLearning-1
DeepLearning-500-questions
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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Digital-Twin-for-Transportation-Big-Data-A-Reinforcement-Learning-Based-Network-Traffic-Prediction-
qlzhao's Repositories
qlzhao/Digital-Twin-for-Transportation-Big-Data-A-Reinforcement-Learning-Based-Network-Traffic-Prediction-
qlzhao/aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
qlzhao/awesome-kan
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.
qlzhao/awesome-mpc
A curated list of multi party computation resources and links.
qlzhao/berkeley-stat-157
Homepage for STAT 157 at UC Berkeley
qlzhao/blockchain_conference_paper
The existing blockchain-related academic papers. All papers are sorted according to the conference and published year. Welcome developers or researchers to add more published papers to this list.
qlzhao/CS7320-AI
Examples for an AI course following the textbook Artificial Intelligence: A Modern Approach by Russell and Norvig.
qlzhao/DeepLearning
Lecture slides for study about "Deep Learning" written by Ian Goodfellow, Yoshua Bengio and Aaron Courville
qlzhao/DeepLearning-1
qlzhao/DeepLearning-500-questions
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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
qlzhao/edX_Learning_From_Data_2017
Machine Learning course on edX by Yaser S. Abu-Mostafa (Caltech)
qlzhao/HGLCM
qlzhao/distributed-consensus-reading-list
A list of papers about distributed consensus.
qlzhao/droplet-engine
Droplet: Decentralized Authorization for IoT Data Streams
qlzhao/introRL
Intro to Reinforcement Learning (强化学习纲要）
qlzhao/learning-from-data
Caltech Machine Learning course notes and homework
qlzhao/Learning-From-Data-A-Short-Course
Solutions to the exercises and problems in the book: Learn From Data_A Short Course by Yaser Abu-Mostafa, Malik Magdon-Ismail and Hsuan-Tien Lin
qlzhao/Learning-from-Data-Solutions
Repository of my solutions to the problems of "Learning from Data"
qlzhao/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
qlzhao/Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions
Solutions of Reinforcement Learning, An Introduction
qlzhao/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
qlzhao/Solutions-to-Exercises-in-Quantum-Computation-and-Quantum-Information
Solutions to the exercises in Quantum Computation and Quantum Information by Michael A. Nielsen and Isaac L. Chuang.
qlzhao/upgrading-ethereum-book
Source repo for Upgrading Ethereum, A technical handbook on Ethereum's move to proof of stake and beyond.
qlzhao/Xanadu-Quantum-Codebook
Learn quantum computing interactively with PennyLane