Tom Cheng's Projects
:musical_note: Algorithms written in different programming languages - https://zoranpandovski.github.io/al-go-rithms/
Algorithms, 4th edition textbook code and libraries
This is the code for the "An intro to probabilistic programming with Uber's Pyro" by Siraj Raval on Youtube
Recurrent Neural Network - A curated list of resources dedicated to RNN
some books
A complete computer science study plan to become a software engineer.
:mortar_board: Path to a free self-taught education in Computer Science!
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Materials for an online-course - "Practical XGBoost in Python"
Data Science in 30 Minutes
Data Science in 30 Minutes #3 - Holt-Winters and exponential smoothing
The fast.ai deep learning library, lessons, and tutorials
Code for the paper "Language Models are Unsupervised Multitask Learners"
Season 2 of @twosigma's artificial intelligence programming challenge
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Machine learning in FPGAs using HLS
How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube
Code School Project: HTML + CSS Portfolio
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
Everything you need to know to get the job.
Oxford Deep NLP 2017 course
Detailed notes and code to learn the basics of machine learning with scikit-learn.
A complete daily plan for studying to become a machine learning engineer.
Plain python implementations of basic machine learning algorithms