VladPrytula

ai_projects

AI projects

Deep-Learning-for-Recommendation-Systems

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

anogan-keras

Unsupervised anomaly detection with generative model, keras implementation

convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

drl

Deep RL Algorithms implemented for UC Berkeley's CS 294-112: Deep Reinforcement Learning

coding-interview-university

A complete computer science study plan to become a software engineer.

bayesgan

Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

DeepNLP-models-Pytorch

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

golang-web-dev

SprayLearning

Learning

bitcoinbook

Mastering Bitcoin 3rd Edition - Programming the Open Blockchain

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.

nativefier

Make any web page a desktop application

decision-tree-js

Small JavaScript implementation of ID3 Decision tree

tutorials

PyTorch tutorials.

MCL_spark

An implementation of Markov Clustering algorithm for Spark in Scala

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

headlines

Automatically generate headlines to short articles

DeepLearningForNLPInPytorch

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

lectures

Oxford Deep NLP 2017 course

SimGAN

Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training

keras-js

Run Keras models in the browser, with GPU support using WebGL

minpy

NumPy interface with mixed backend execution

kaggle-past-solutions

A searchable compilation of Kaggle past solutions

TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

udacity-machine-learning-nanodegree

project solutions to Udacity's Machine Learning Nanodegree

Udacity-SDC-Docker-GPU

Created Dockerfile that includes all software installations required for Udacity SDC ND Term 1 and Term 3. This is tested on Ubuntu 16.04 and supports GPU.

UdacitySDC-Challenge2

Code and writeup for Udacity Challenge 2 - Using Deep Learning to Predict Steering Angles

LSHash

A fast Python implementation of locality sensitive hashing.