tjanardhanreddy's starred repositories
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.
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
BrainDecoding
Brain Decoding using Word2Vec
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.
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
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.
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.
pytorch-examples
Simple examples to introduce PyTorch
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