webserg

02456-deep-learning-with-PyTorch

Exercises and supplementary material for the deep learning course 02456 using PyTorch.

alertEngine

stock alert engine

algorithmsDesignAndAnalysis

capsule_net_pytorch

Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]

capsule_network_traffic_sign

Coursera_Reinforcement_Learning

Coursera Reinforcement Learning Specialization by University of Alberta & Alberta Machine Intelligence Institute

cpp

c++

deepLearningBook-Notes

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

DeepRL-Tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

gans-in-action

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

GDL_code

The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

GoWork

highloadcup18

https://highloadcup.ru/media/condition/accounts_rules.html

highloadcup18-python

highloadcup18

Hinton-Coursera-Python

Python version of programming assignments for "Neural Networks for Machine Learning" Coursera course taught by Geoffrey Hinton.

interactive-coding-challenges

Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

javaWork

LeetCodeProblems

LeetCode Problems

machineL

neural-net-optimization

PyTorch implementations of recent optimization algorithms for deep learning.

pytorch-Deep-Learning

Deep Learning (with PyTorch)

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

PyTorchNLPBook

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

rainbow-is-all-you-need

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

RNN-walkthrough

ScalaWork

SLM-Lab

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

spring_react_demo

How to write a react.js app with spring as backend

transformer-implementation

Personal implementation of the Transformer paper.