faur Goto Github PK

02456-deep-learning

Exercises and supplementary material for the deep learning course 02456.

02456-vae

Things and code

ai-blog

Accompanying repository for Let's make a DQN / A3C series.

atari-py

A packaged and slightly-modified version of https://github.com/bbitmaster/ale_python_interface with Windows support and no zlib dependency

bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

c_basics

Some personal libraries and stuff I am working on, mostly inspired by the 02105 Algoritmer og Datastrukturer course at the Technical University of Denmark

code-the-witters

Praqma team git exercise

course-02456-sparsemax

TensorFlow and Numpy implementation of sparsemax

ctrnn

My TensorFlow implementation of a Continuous Time RNN (CTRNN) and the Multiple Timescales (MTRNN) extension

deep-reinforcement-learning

Code for deep reinforcement learning. Written using TensorFlow

deeprl-agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

discrete-latent-learning

discrete-world-models

Code for implementing discrete probalbistic world models for applications within Reinforcement learning.

ee817

Semester project for ee817, spring 12017

faur.github.io

This is my blog. There are many like it, but this one is mine.

gildedrose

Gilded Rose exercise for Jenkins

itu-data-science-in-games-exercises

Labs accompanying the IT University of Copenhagen course "Data Science in Games"

itu-data-science-in-games-labs

Labs accompanying the IT University of Copenhagen course ""

itu-modern-ai-exercises

Labs accompanying the IT University of Copenhagen course "Modern Artificial Intelligence"

latex-template

Latex Template designed for academic reports.

lcthw

Exercises from 'Learn C the Hard Way' from http://c.learncodethehardway.org/.

mit.ocw-practical-programming-in-c

MIT-OCW: Practical Programming in C

multi-armed-bayesian-bandits

nips14-ssl

Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"

nips2017-learning-to-run

https://www.crowdai.org/challenges/nips-2017-learning-to-run

openprotein

A PyTorch framework for prediction of tertiary protein structure

prednet

Code and models accompanying "Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning"

reinforcement-learning-introduction

Code for simple reinforcement learning algorithms (Q-learning, SARSA) using tabular and linear approximation, as well as eligibility traces.

timit

Framewise phoneme classification on the TIMIT dataset using neural networks

udacity-deep-learning-course

My attempt at completing the course assignments in Theano/Lasagne (instead of TensorFlow)