Pinned Repositories
18303
18.303 - Linear PDEs course
alfred-web-search-suggest
Alfred search suggest workflow for various popular websites.
automate-the-boring-stuff-python
Automate the boring stuff with python
Chinese_HSK4_Coursera
HSK4 Chinese class by Peking University (Coursera)
covid-visualizer
Visualizer of Covid-19 pandemic data
CS224n-NLP
NLP Class from Stanford
flame-ai-challenge
Submission to the Stanford FLAME AI 2023 - ML Challenge
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
streamlit-experiment-2
Streamlit template for quick displaying and deployment on Heroku
UCI-Credit-card-defaults
Exploration and Prediction of the "default of credit card clients Data Set" from UCI
thomasXwang's Repositories
thomasXwang/codingbattle-2018
Problems of the ShaKer 2018 Coding Battle (English and French): statements, solutions, input / output
thomasXwang/CS231n
CS231n
thomasXwang/David-Silver-Reinforcement-learning
Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
thomasXwang/handson-ml2
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.
thomasXwang/ipython-notebooks
A collection of IPython notebooks covering various topics.
thomasXwang/lectures
Oxford Deep NLP 2017 course
thomasXwang/Leetcode-Scraper
LeetCode Scraper is a python program that takes advantage of selenium to logins into a user's LeetCode account, and scrape code for their solved problems. It stores their code inside of a file of their choosing.
thomasXwang/MachineLearningCourse
A collection of notebooks of my Machine Learning class written in python 3
thomasXwang/natural-language-processing
Resources for "Natural Language Processing" Coursera course.
thomasXwang/open-data
Free football data from StatsBomb
thomasXwang/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
thomasXwang/trainings-2018
This repo contains the courses, exercises and solutions of the weekly trainings of our competitive programming student club.