Kirty Vedula's repositories
jcm-awgn-imp
Results submitted to ICASSP 2020 for the paper titled "Joint Coding and Modulation in the Ultra-Short Blocklength Regime for Bernoulli-Gaussian Impulsive Noise Channels Using Autoencoders"
DSP_EMGDL_Chapter
Deep Learning approaches for sEMG-based gesture recognition
kirtyvedula.github.io
Professional Website
crnn.pytorch
Convolutional recurrent network in pytorch
cs131_notes
Class notes for CS 131.
Deep-Learning-Project-Template
A best practice for deep learning project template architecture.
EMG-Project
Exploring EMG-based gaming applications
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
LSTM-Human-Activity-Recognition
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo). Classifying the type of movement amongst six activity categories - Guillaume Chevalier
LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
machine-learning-interview-questions
This repository is to prepare for Machine Learning interviews.
pdb-tutorial
A simple tutorial about effectively using pdb
PhD_Dissertation_Template_WPI
Latex template for a masters thesis at WPI
PhyCS2018_paper
An EMG-based gesture recognition
pytorch-Deep-Learning-Minicourse
Minicourse in Deep Learning with PyTorch
pytorch-flows
PyTorch implementations of algorithms for density estimation
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
PyTorch-Tutorial-1
Build your neural network easy and fast
PyTorchZeroToAll
Simple PyTorch Tutorials Zero to ALL!
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
Reinforcement-Learning-for-Wireless
Some simulations for wireless RL
VariationalRecurrentNeuralNetwork
Pytorch implementation of the Variational Recurrent Neural Network (VRNN).