Set up deep learning environment in a single command line.
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Updated
Jun 23, 2021 - Python
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Set up deep learning environment in a single command line.
A course in reinforcement learning in the wild
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
DL course co-developed by YSDA, HSE and Skoltech
Combines the ease of use of scikit-learn with the power of Theano/Lasagne
A deep neural network for face alignment
CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art
How to use TensorLayer
Deep Reinforcement Learning library for humans
Soundscape analysis with BirdNET.
Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.
Periodic Spatial Generative Adversarial Networks
R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation
Spatial Generative Adversarial Networks
Intro to Deep Learning, including recurrent, convolution, and feed forward neural networks.
Documentation:
Bayesian dessert for Lasagne
RNN benchmarks of pytorch, tensorflow and theano
A deep generative model library in Theano and Lasagne
Generating proportional fonts with deep learning
Fast, Lightweight Style Transfer using Deep Learning
Convolutional AutoEncoder application on MRI images
The 2018 LifeCLEF bird identification task baseline system.
Author's implementation of the paper "Deep Relative Attributes" (ACCV 2016)
Source code of the TUCMI submission to BirdCLEF2017
Collection of iris classifcation program for teaching purpose
Unofficial implementation algorithms of attention models on SNLI dataset
Adversarial Discriminative Domain Adaptation with MNIST 64x64 in Lasagne-Theano
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