Pinned Repositories
academic-kickstart
Algorithm-Design-Manual
Data structures, algorithms, and practice problems from Steven S. Skiena's "The Algorithm Design Manual" (Second Edition).
Algorithms
Practicing data structures and algorithms in Python
android-market-api
An open-source API for the Android Market (git mirror)
DSP_EMGDL_Chapter
Deep Learning approaches for sEMG-based gesture recognition
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"
kirtyvedula.github.io
Professional Website
wirelessML
Machine Learning and Deep Learning in Wireless Communication
kirtyvedula's Repositories
kirtyvedula/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"
kirtyvedula/DSP_EMGDL_Chapter
Deep Learning approaches for sEMG-based gesture recognition
kirtyvedula/kirtyvedula.github.io
Professional Website
kirtyvedula/academic-kickstart
kirtyvedula/crnn.pytorch
Convolutional recurrent network in pytorch
kirtyvedula/cs131_notes
Class notes for CS 131.
kirtyvedula/Deep-Learning-Project-Template
A best practice for deep learning project template architecture.
kirtyvedula/EMG-Project
Exploring EMG-based gaming applications
kirtyvedula/fastai
The fastai deep learning library, plus lessons and and tutorials
kirtyvedula/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.
kirtyvedula/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
kirtyvedula/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
kirtyvedula/machine-learning-interview-questions
This repository is to prepare for Machine Learning interviews.
kirtyvedula/ModelSwitching
kirtyvedula/overcome-the-chaos
kirtyvedula/pdb-tutorial
A simple tutorial about effectively using pdb
kirtyvedula/PhD_Dissertation_Template_WPI
Latex template for a masters thesis at WPI
kirtyvedula/PhyCS2018_paper
An EMG-based gesture recognition
kirtyvedula/PRML
PRML algorithms implemented in Python
kirtyvedula/pytorch-Deep-Learning-Minicourse
Minicourse in Deep Learning with PyTorch
kirtyvedula/pytorch-flows
PyTorch implementations of algorithms for density estimation
kirtyvedula/pytorch-sample-codes
kirtyvedula/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
kirtyvedula/PyTorch-Tutorial-1
Build your neural network easy and fast
kirtyvedula/pytorch_basics
kirtyvedula/PyTorchZeroToAll
Simple PyTorch Tutorials Zero to ALL!
kirtyvedula/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
kirtyvedula/Reinforcement-Learning-for-Wireless
Some simulations for wireless RL
kirtyvedula/TD-VAE
Temporal Difference Variational Auto-Encoder (TD-VAE) (Implementation in PyTorch)
kirtyvedula/VariationalRecurrentNeuralNetwork
Pytorch implementation of the Variational Recurrent Neural Network (VRNN).