Tzu-Chan (Alice) Chuang's starred repositories
awesome-courses
:books: List of awesome university courses for learning Computer Science!
go-ethereum
Go implementation of the Ethereum protocol
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
awesome-deep-learning-papers
The most cited deep learning papers
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
cs231n.github.io
Public facing notes page
py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
AdversarialNetsPapers
Awesome paper list with code about generative adversarial nets
fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
SeqGAN_tensorflow
SeqGAN tensorflow implementation
ISLR_notes
Notes included mathematical proofs related to Machine Learning or Statistical Learning.
MachineLearning-boston-housing
Built a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools, Identified the best price that a client can sell their house utilizing machine learning.