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adversarial-autoencoder

Chainer implementation of adversarial autoencoder (AAE)

arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

autonomous_racing_cars

This is the code and lab repository for the course ARC of TU Wien - Reproduced from https://github.com/mlab-upenn/f110-fall2019-skeletons

azure-machinelearning-datascience

celegansneuroml

NeuroML based C elegans model, contained in a neuroConstruct project, as well as c302

cfc

Closed-form Continuous-time Neural Networks

colah.github.io

convolutional-autoencoder

I train a CAE in Keras

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

dcgan_code

Deep Convolutional Generative Adversarial Networks

hodgkin_huxley_tutorial

Hodgkin Huxley Tutorial

indaba-pracs-2019

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

l-state-spaces

Sequence Modeling with Structured State Spaces

lasagne

Lightweight library to build and train neural networks in Theano

liquid-s4

Liquid Structural State-Space Models

liquid_time_constant_networks

Code Repository for Liquid Time-Constant Networks (LTCs)

lstm_dynamics_interpretability

Here we provide the code for the response characterisation methodology for interpretation of the dynamics of long short term memory (LSTM) networks

ordinary-neural-circuits

Code repo for paper: ICML 2020 paper Natural lottery ticket winner: RL for ordinary neural circuits

practicals2017

Deep Learning Indaba 2017 Practical content

pyhopper

PyHopper is a hyperparameter optimizer, made specifically for high-dimensional problems arising in machine learning research.

pyopenworm

Unified, simple data access python library for data & facts about C. elegans anatomy

rnn-training-for-parking

[Materials and Methods for submission X] This repository contains all the necessary data, for reproducing the RNN training process and monitoring their performance.

seq2seq

A general-purpose encoder-decoder framework for Tensorflow

sibernetic

This is a C++/OpenCL implementation of the PCISPH algorithm supplemented with a set of biomechanics simulations related features applied to C. elegans locomotion

sim-ce

SIM-CE is an advanced, user-friendly modeling and simulation environment in Simulink, for performing multi-scale behavioral analysis of the nervous system of Caenorhabditis elegans (C. elegans).

template

tensorflow

Computation using data flow graphs for scalable machine learning

theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

worm-blogging

Here, I include my thoughts about how does the brain of the worm give rise to remarkable behavioral plasticities