Stars
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
[ACM Multimedia 2023] Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow.
Deep learning ECG models implemented using PyTorch
A repository for compiling graduate application materials for prospective computer science graduate students (Masters & PhD).
recurrent neural network (LSTM) based automated essay grading system
Created a web app that can automatically score essays. The grading model was trained using HP Essays Dataset from Kaggle. Used Long Short Term Memory (LSTM) network and machine learning algorithms …
ECG classification using MIT-BIH data, a deep CNN learning implementation of Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network,…
Popular ECG QRS detectors written in python
Deep Learning book the covers the principles of deep learning, motivation, explanations, state of the art papers for the various tasks and architectures: CNNs, object detection, semantic segmentati…
Feature Selection using Mutual Information for High Dimensional DataSets
Deep learning approaches in food recognition
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Deploying a React App (created using create-react-app) to GitHub Pages
Detect sleep apnea using heart rate data from wearable devices
Obstructive Sleep Apnea, OSA, CNN, ECG signal, LeNet5
mddm algorithm in “Multi-label dimensionality reduction via dependency maximization”.
Code for BEA 13 paper "Co-Attention Based Neural Network for Source-Dependent Essay Scoring"
Automatically Score essays using Deep Learning
Automatic feature engineering using Generative Adversarial Networks using TensorFlow.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
Reference models and tools for Cloud TPUs.
This is the syllabus for "Move 37", Siraj Raval's new course at School of AI
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…