tjanardhanreddy

Machine-Learning-Lab

All Machine Learning Lab Programs for VTU 7th sem 2018 is updated with code, dataset, and Description on how to execute the program.

DeepLearningLab

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Awesome-Machine-Learning-Notes

BrainDecoding

Brain Decoding using Word2Vec

Python-Basics

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

ML-From-Scratch

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

ganlab

GAN Lab: An Interactive, Visual Experimentation Tool for Generative Adversarial Networks

practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

deeplearning-models

A collection of various deep learning architectures, models, and tips

EEG-Motor-Imagery-Classification---ANN

Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction

research

Motor Imagery Classification based on EEG at Columbia Medical Center

Deep-BCI

An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning

Advanced-Machine-Learning-Specialization

Advanced Machine Learning Specialization on Coursera

_DEPRECATED_OpenBCI-V2hardware

This repository contains the core OpenBCI hardware and software frameworks.

Sequence-Models

Programming assignments of "Sequence Models" course by Andrew Ng.

Theses

Theses submitted as part of my academics

Sequences-Time-Series-Prediction-in-Tensorflow

This Repo includes my work in the Sequences and Time Series course of the Tensorflow in Practice Specialization by deeplearning.ai at Coursera

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

torch-rnn

Efficient, reusable RNNs and LSTMs for torch

pytorch-examples

Simple examples to introduce PyTorch

EEG_BCI

CNN and RNN based architectures for Motor Imagery Classification

MotorImageryML

2-Class Motor imagery classification using various ML models.

IITK_Motor_EEG

Motor Imagery EEG signal Classification on DWT

eeg_motor_imagery_gan

This repository save my work about GAN applied to motor imagery eeg signals

Motor-Imagery-Tasks-Classification-using-EEG-data

Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data

awesome-AI-books

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

coursera-stanford

Stanford