Yevgeniy's repositories
albumentations
fast image augmentation library and easy to use wrapper around other libraries
ampdLib
Python implementation of the Automatic Multiscale Peak Detection (AMPD) by Felix Scholkmann et al., 2012
autokeras
accessible AutoML for deep learning.
camera_identification
IEEE's Signal Processing Society - Camera Model Identification
chess-alpha-zero
Chess reinforcement learning by AlphaGo Zero methods.
ciftify
The tools of the Human Connectome Project (HCP) adapted for working with non-HCP datasets
Data-Science--Cheat-Sheet
Cheat Sheets
data-science-interview-questions-and-answers
Data science interview questions with answers. Not ideally (yet)
deep-learning-book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
gcForest
This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
Grokking-Deep-Learning
this repository accompanies my forthcoming book "Grokking Deep Learning"
Hands-on-Unsupervised-Learning-with-Python
Hands on Unsupervised Learning with Python [Video], Published by Packt
handson-unsupervised-learning
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries.
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Keras-GAN
Keras implementations of Generative Adversarial Networks.
keras-tcn
Keras Temporal Convolutional Network.
machine-learning-for-trading
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
missingno
Missing data visualization module for Python.
Neural_Arithmetic_Logic_Units-Keras
This is the code for "Neural Arithmetic Logic Units" in Keras by Atri Saxena
nibabel_nilearn_tutorial
Materials for an intro to neuroimaging in python tutorial from Toronto, july 2017
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
theMLbook
The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
toxic
Toxic Comment Classification Challenge
wordvectors
Pre-trained word vectors of 30+ languages