nikhil-garg
Doctoral student at CNRS . Seeking to pursue synergistic research in neuromorphic engineering, device modelling, VLSI architecture, machine learning
3IT, UdeSCanada
Pinned Repositories
l2race
Learning to race challenge for 2020 workshop
BCI_Codes_MI
Decoding_EEG
Deep-Learning-for-BCI
Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications
dnw
Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)
EMG_exp
This is the code for the paper Signals to Spikes for Neuromorphic Regulated Reservoir Computing and EMG Hand Gesture Recognition
OLED_driver_artix7
OLED driver for artix 7(Nexys 4) FPGA board.
Psychiatric-Disorders-With-Speech
In this project, we wish to identify psychiatric disorders through patient's speech
VDSP_Nengo
Implementation of VDSP in Nengo SNN simulator. Voltage-dependent synaptic plasticity: Unsupervised probabilistic Hebbian plasticity rule based on neurons membrane potential. Front. Neurosci. 16:983950. doi: 10.3389/fnins.2022.983950
CartPoleSimulation
This repository contains CartPole simulator with its GUI, implemented controller (LQR) and generator of random desired position trace. It also contains files to train and test RNN predicting future states of a CartPole.
nikhil-garg's Repositories
nikhil-garg/Deep-Learning-for-BCI
Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications
nikhil-garg/arl-eegmodels
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
nikhil-garg/braindecode
Deep learning software to decode EEG or MEG signals
nikhil-garg/ComputationalNeuroScience
Tutorial Series for Spiking Neural Networks 🔥
nikhil-garg/deepface
A Lightweight Deep Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Framework for Python
nikhil-garg/delve
PyTorch and Keras model training and layer saturation monitor
nikhil-garg/DiCE
Generate Diverse Counterfactual Explanations for any machine learning model.
nikhil-garg/ecogVIS
Time series visualizer and data processing tools for Electrocorticography (ECoG) signals stored in NWB files, for Python.
nikhil-garg/EEG-Artifact-Correction-Via-Completion
Code for the artifact correction section from the paper "Unsupervised EEG Artifact Detection and Correction".
nikhil-garg/EEG-DL
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
nikhil-garg/eeg-notebooks
A collection of classic EEG experiments implemented with Python and Jupyter notebooks
nikhil-garg/EEGExtract
A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital Health, 2020.
nikhil-garg/ElectrophysiologySoftware
A list of openly available software tools for (mostly human) electrophysiology.
nikhil-garg/fairness-indicators
Tensorflow's Fairness Evaluation and Visualization Toolkit
nikhil-garg/GazeCapture
Eye Tracking for Everyone
nikhil-garg/healthcare_ml
A curated list of ML|NLP resources for healthcare.
nikhil-garg/HebbianMetaLearning
Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686
nikhil-garg/kalman-ahrs
Kalman filter based AHRS system for gyroscope, accelerometer and magnetometer combo.
nikhil-garg/Learning-to-approximate-functions-using-niobium-doped-strontium-titanate-memristors
Nengo implementation of neuromorphic learning using simulated SrTiO3 memristors.
nikhil-garg/mining2021
Code to accompany: https://arxiv.org/abs/2001.08349
nikhil-garg/model-optimization
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
nikhil-garg/model-remediation
Model Remediation is a library that provides solutions for machine learning practitioners working to create and train models in a way that reduces or eliminates user harm resulting from underlying performance biases.
nikhil-garg/nas-bench-nlp-release
nikhil-garg/PlotNeuralNet
Latex code for making neural networks diagrams
nikhil-garg/PySR
Simple, fast, and parallelized symbolic regression in Python/Julia via regularized evolution and simulated annealing
nikhil-garg/skorch
A scikit-learn compatible neural network library that wraps PyTorch
nikhil-garg/SNN_HFO_iEEG
nikhil-garg/Speech_Emotion_Recognition
Using Convolutional Neural Networks in speech emotion recognition on the RAVDESS Audio Dataset.
nikhil-garg/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
nikhil-garg/VDSP_spinnaker