Pinned Repositories
car_rental_Sutton
data-structures-algorithms-using-python
Codes for Data Structures and Algorithms Using Python, Rance D. Necaise (Wiley, 2010-12-21) Python数据结构与算法
ElevatorSim
Elevator simulation for CS 1538
flask-google-calendar-api-project
Learning By Doing Project - Building a Flask Web Application using Google Calendar API
Inventory-Management-System-DEMO-3
This is a Inventory Management System created using R and Shiny package that forecasts next month sales demand and also calculates safety stock and reorder point.
Machine-Learning_ZhouZhihua
Exercises answers to the book "machine-learning" written by Prof. Zhou Zhihua of Nanjing University
myElevatorNov26
my first simulation for the elevator, solve the elevator allocation problem
PythonCrawler1
一个Python程序爬廖雪峰的Python教程
sutton_Gambler
python code successfullly reproduce the Gambler problem, Figure 4.6 of Chapter 4 on Sutton's book, Sutton, R. S., & Barto, A. G. (1998). Reinforcement learning: An introduction (Vol. 1, No. 1). Cambridge: MIT press.
jamesliao2016's Repositories
jamesliao2016/awesome-deep-learning-and-machine-learning-questions
【不定期更新中】收集整理的一些网站中（如知乎、Quora、Reddit、Stack Exchange等）与深度学习、机器学习、强化学习、数据科学相关的有价值的问题
jamesliao2016/awesome-deep-learning-music
List of articles related to deep learning applied to music
jamesliao2016/awesome-deep-learning-papers
The most cited deep learning papers
jamesliao2016/deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
jamesliao2016/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
jamesliao2016/FATE
An Industrial Level Federated Learning Framework
jamesliao2016/fma
FMA: A Dataset For Music Analysis
jamesliao2016/folk-rnn
folk music modelling with LSTM
jamesliao2016/GBDT_Simple_Tutorial
python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision
jamesliao2016/Grokking-Deep-Learning
this repository accompanies my forthcoming book "Grokking Deep Learning"
jamesliao2016/HCDR2018
jamesliao2016/How-to-learn-Deep-Learning
A top-down, practical guide to learn AI, Deep learning and Machine Learning.
jamesliao2016/instagram-scraper
Scrapes an instagram user's photos and videos
jamesliao2016/introtodeeplearning_labs
Lab Materials for MIT 6.S191: Introduction to Deep Learning
jamesliao2016/koalas
Koalas: pandas API on Apache Spark
jamesliao2016/leetcode-questions-by-company
A list of LeetCode questions with the corresponding companies
jamesliao2016/machine-learning-interview
机器学习面试题总结
jamesliao2016/magenta
Magenta: Music and Art Generation with Machine Intelligence
jamesliao2016/makerting_data_analysis
Give a marketing analysis to the sales department based on the sales data.
jamesliao2016/musegan
An AI for Music Generation
jamesliao2016/music-audio-tagging-at-scale-models
Tensorflow implementation of the models used in "End-to-end learning for music audio tagging at scale"
jamesliao2016/Neural-Style-Transfer
Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+
jamesliao2016/or-tools
Google's Operations Research tools:
jamesliao2016/Recommendation
jamesliao2016/RecSys2018
1'st Place Approach by Layer6 AI to the 2018 ACM RecSys Challenge
jamesliao2016/resume
Software developer resume in Latex
jamesliao2016/tartarus
Deep Learning for audio and text
jamesliao2016/Tetris2021
jamesliao2016/tetris_game
A Tetris Game with AI
jamesliao2016/the-elements-of-statistical-learning-notebooks
Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman