raminmh

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

CfC

Closed-form Continuous-time Neural Networks

l-state-spaces

Sequence Modeling with Structured State Spaces

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

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).

Worm-Blogging

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

raminmh/liquid_time_constant_networks

Code Repository for Liquid Time-Constant Networks (LTCs)

raminmh/CfC

Closed-form Continuous-time Neural Networks

raminmh/liquid-s4

Liquid Structural State-Space Models

raminmh/ordinary-neural-circuits

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

raminmh/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

raminmh/l-state-spaces

Sequence Modeling with Structured State Spaces

raminmh/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

raminmh/Worm-Blogging

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

raminmh/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.

raminmh/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).

raminmh/Convolutional-Autoencoder

I train a CAE in Keras

raminmh/pyhopper

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

raminmh/dcgan_code

Deep Convolutional Generative Adversarial Networks

raminmh/indaba-pracs-2019

raminmh/Lasagne

Lightweight library to build and train neural networks in Theano

raminmh/seq2seq

A general-purpose encoder-decoder framework for Tensorflow

raminmh/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.

raminmh/adversarial-autoencoder

Chainer implementation of adversarial autoencoder (AAE)

raminmh/arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

raminmh/Azure-MachineLearning-DataScience

raminmh/CElegansNeuroML

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

raminmh/colah.github.io

raminmh/DCGAN-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

raminmh/hodgkin_huxley_tutorial

Hodgkin Huxley Tutorial

raminmh/keras

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

raminmh/practicals2017

Deep Learning Indaba 2017 Practical content

raminmh/PyOpenWorm

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

raminmh/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

raminmh/template

raminmh/tensorflow

Computation using data flow graphs for scalable machine learning