Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
Minimal and clean examples of machine learning algorithms
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
A complete daily plan for studying to become a machine learning engineer.
A few tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Non official project based on original /r/Deepfakes thread
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013) Python code
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.
open source driving agent
The "Python Machine Learning (2nd edition)" book code repository and info resource
A book covering the fundamentals of data visualization.
The "Python Machine Learning (1st edition)" book code repository and info resource
A python tutorial on bayesian modeling techniques (PyMC3)
Sequence modeling benchmarks and temporal convolutional networks
How to generate realistic yelp restaurant reviews with Keras
PyTorch4 tutorial of Reinforcement Learning with Policy Gradients
R for data science
Python code for Reinforcement Learning: An Introduction
Benchmarks of approximate nearest neighbor libraries in Python
A python module for experimenting with different active learning algorithms
An End-to-End Deep Learning Benchmark and Competition
Repo for the Deep Learning Nanodegree Foundations program.
Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning
The world's simplest facial recognition api for Python and the command line
The fast.ai deep learning library, lessons, and tutorials
A deep neural network for finding text-independent speaker embedding written in tensorflow and tensorpack
The AI can paint on a sketch accroding to a given specific color style.
This tutorial gives readers a full understanding of seq2seq models and shows how to build a competitive seq2seq model from scratch.