Ecosyste.ms: Awesome
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Projects in Awesome Lists by raminmh
A curated list of projects in awesome lists by raminmh .
https://github.com/raminmh/liquid_time_constant_networks
Code Repository for Liquid Time-Constant Networks (LTCs)
deep-learning liquid-neural-networks recurrent-neural-networks sequence-modeling state-space-models time-series
Last synced: 09 Jan 2025
https://github.com/raminmh/cfc
Closed-form Continuous-time Neural Networks
deep-learning neural-ode pytorch recurrent-neural-networks sequence-models tensorflow
Last synced: 09 Jan 2025
https://github.com/raminmh/liquid-s4
Liquid Structural State-Space Models
deep-learning liquid-neural-networks neural-networks recurrent-neural-networks sequence-modeling state-space-models time-series
Last synced: 09 Jan 2025
https://github.com/raminmh/ordinary-neural-circuits
Code repo for paper: ICML 2020 paper Natural lottery ticket winner: RL for ordinary neural circuits
deep-learning deep-reinforcement-learning lottery-ticket-hypothesis neural-circuits neural-networks python reinforcement-learning robotics tensorflow
Last synced: 18 Dec 2024
https://github.com/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
Last synced: 18 Dec 2024
https://github.com/raminmh/worm-blogging
Here, I include my thoughts about how does the brain of the worm give rise to remarkable behavioral plasticities
biological-networks celegans complex-neural-networks computational-neuroscience dynamic-systems modeling simulation
Last synced: 18 Dec 2024
https://github.com/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).
brain-simulator c-elegans neural-circuits neuron-simulations simulator
Last synced: 18 Dec 2024
https://github.com/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.
Last synced: 18 Dec 2024
https://github.com/raminmh/convolutional-autoencoder
I train a CAE in Keras
Last synced: 18 Dec 2024
https://github.com/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
Last synced: 18 Dec 2024