Kirty Vedula's repositories
claude-engineer
Claude Engineer is an interactive command-line interface (CLI) that leverages the power of Anthropic's Claude-3.5-Sonnet model to assist with software development tasks. This tool combines the capabilities of a large language model with practical file system operations and web search functionality.
kirtyvedula.github.io
Professional Website
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
Reinforcement-Learning-for-Wireless
Some simulations for wireless RL
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"
PRML
PRML algorithms implemented in Python
cs131_notes
Class notes for CS 131.
PyTorch-Tutorial-1
Build your neural network easy and fast
VariationalRecurrentNeuralNetwork
Pytorch implementation of the Variational Recurrent Neural Network (VRNN).
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.
machine-learning-interview-questions
This repository is to prepare for Machine Learning interviews.
PhD_Dissertation_Template_WPI
Latex template for a masters thesis at WPI
Deep-Learning-Project-Template
A best practice for deep learning project template architecture.
TD-VAE
Temporal Difference Variational Auto-Encoder (TD-VAE) (Implementation in PyTorch)
crnn.pytorch
Convolutional recurrent network in pytorch
EMG-Project
Exploring EMG-based gaming applications
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
fastai
The fastai deep learning library, plus lessons and and tutorials
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
PyTorchZeroToAll
Simple PyTorch Tutorials Zero to ALL!
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
PhyCS2018_paper
An EMG-based gesture recognition
DSP_EMGDL_Chapter
Deep Learning approaches for sEMG-based gesture recognition
pdb-tutorial
A simple tutorial about effectively using pdb
pytorch-flows
PyTorch implementations of algorithms for density estimation