raminmh

liquid_time_constant_networks

Code Repository for Liquid Time-Constant Networks (LTCs)

CfC

Closed-form Continuous-time Neural Networks

liquid-s4

Liquid Structural State-Space Models

ordinary-neural-circuits

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

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

l-state-spaces

Sequence Modeling with Structured State Spaces

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

Worm-Blogging

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

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.

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).

Convolutional-Autoencoder

I train a CAE in Keras

pyhopper

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

arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

indaba-pracs-2019

Lasagne

Lightweight library to build and train neural networks in Theano

llama.cpp

LLM inference in C/C++

seq2seq

A general-purpose encoder-decoder framework for Tensorflow

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.

adversarial-autoencoder

Chainer implementation of adversarial autoencoder (AAE)

Azure-MachineLearning-DataScience

CElegansNeuroML

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

colah.github.io

DCGAN-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

hodgkin_huxley_tutorial

Hodgkin Huxley Tutorial

keras

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

practicals2017

Deep Learning Indaba 2017 Practical content

PyOpenWorm

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

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

template

tensorflow

Computation using data flow graphs for scalable machine learning