Nikhil Garg's Projects
Curated list of resources for college students :octocat: If you like give a :star:
Fast and flexible AutoML with learning guarantees.
An adapted version of the original caffe deep learning library to support training, finetuning and testing of convolutional neural networks with limited numerical precision of weights and activations
ADMS is a code generator for the Verilog-AMS language
Code for interfacing with the AJILE dataset
Evaluating the LMU on various tasks against various parameters
Python+Qt Interface for the ArC1 platform
A compact realtime embedded Attitude and Heading Reference System (AHRS) using Recursive Least Squares (RLS) for magnetometer calibration and EKF/UKF for sensor fusion on Arduino platform
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
In this repository the code to the the master thesis "Automated Tuning of Double Quantum Dot Charge States" can be found. This includes an implementation of an auto-tuner of double quantum dot charge states.
A computer program that automatically reads scientific papers for you
A curated list of neural architecture search (NAS) resources.
My first C++ project I made in High School
The uncompromising Python code formatter
Blue Brain Python Optimisation Library
SNNs based Motor imagery movements decoding from EEG signals
Deep learning software to decode EEG or MEG signals
Brian 2 version of Paper "Unsupervised Learning of digit recognition using STDP"
Tools to use with Brian 2, in particular for visualization
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.
Open-source productivity booster with a brain
Circuit Simulation Framework, reliability oriented
CircuiTikZ TeX/LaTeX package for drawing circuits
This is the course taught by Prof.John Shen and Prof. Onur Mutlu from CMU
Tutorial Series for Spiking Neural Networks 🔥
A technical report on convolution arithmetic in the context of deep learning
Assignments of the course Data Science and Machine learning