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