rahuls321

rahuls321's Stars

• rbhatia46/Data-Science-Interview-Resources

  A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

  2.7k647

• mike-ghaly/Image-Processing

  Language:Python12

• bcmi/DCI-VTON-Virtual-Try-On

  [ACM Multimedia 2023] Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow.

  Language:Python38756

• openlifescience-ai/ai-deadlines

  Language:JavaScript234

• DeepPSP/torch_ecg

  Deep learning ECG models implemented using PyTorch

  Language:Python17020

• chinasatokolo/csGraduateApps

  A repository for compiling graduate application materials for prospective computer science graduate students (Masters & PhD).

  15918

• yetianpro/automated-essay-grading-by-RNN

  recurrent neural network (LSTM) based automated essay grading system

  Language:Jupyter Notebook81

• ankitshah009/all-about-ai-residency

  AI residency programs information

  42454

• sankalpjain99/Automatic-Essay-Scoring

  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 to train model. WebApp was created using Flask framework.

  Language:Jupyter Notebook4821

• physhik/ecg-mit-bih

  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, https://www.nature.com/articles/s41591-018-0268-3 and also deploy the trained model to a web app using Flask, introduced at

  Language:Python18360

• berndporr/py-ecg-detectors

  Popular ECG QRS detectors written in python

  Language:Python34482

• shellysheynin/Deep-Learning-Book

  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 segmentation, generative models, denoising, super resolution, style transfer and style manipulation, inpaintig, self supervised learning, vision transformers, OCR, and multi modal. Hope that it will be useful to some of you 🙂

  10320

• rahuls321/Hardware-Security

  Related papers

  Language:Verilog71

• rahuls321/Online-Feature-Selection-

  Feature Selection using Mutual Information for High Dimensional DataSets

  Language:Python42

• chairiq/FoodCNNs

  Deep learning approaches in food recognition

  Language:Jupyter Notebook72

• udacity/deep-learning-v2-pytorch

  Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

  Language:Jupyter Notebook5.3k5.3k

• michalsnik/aos

  Animate on scroll library

  Language:JavaScript26.5k2.6k

• gitname/react-gh-pages

  Deploying a React App (created using create-react-app) to GitHub Pages

  Language:TypeScript6.5k912

• ChiQiao/Apnea-ECG

  Detect sleep apnea using heart rate data from wearable devices

  Language:Jupyter Notebook228

• JackAndCole/Sleep-apnea-detection-through-a-modified-LeNet-5-convolutional-neural-network

  Obstructive Sleep Apnea, OSA, CNN, ECG signal, LeNet5

  Language:Python4623

• ZesenChen/mddm-master

  mddm algorithm in “Multi-label dimensionality reduction via dependency maximization”.

  Language:Matlab51

• Rokeer/co-attention

  Code for BEA 13 paper "Co-Attention Based Neural Network for Source-Dependent Essay Scoring"

  Language:Python189

• mankadronit/Automated-Essay--Scoring

  Automatically Score essays using Deep Learning

  Language:JavaScript14366

• hamaadshah/gan_tensorflow

  Automatic feature engineering using Generative Adversarial Networks using TensorFlow.

  Language:Python5128

• sebastianruder/NLP-progress

  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.

  Language:Python22.5k3.6k

• sudharsan13296/Hands-On-Reinforcement-Learning-With-Python

  Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

  Language:Jupyter Notebook837324

• tensorflow/tpu

  Reference models and tools for Cloud TPUs.

  Language:Jupyter Notebook5.2k1.8k

• llSourcell/Move_37_Syllabus

  This is the syllabus for "Move 37", Siraj Raval's new course at School of AI

  21548

• eriklindernoren/ML-From-Scratch

  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 learning.

  Language:Python23.8k4.6k

• Avik-Jain/100-Days-Of-ML-Code

  100 Days of ML Coding

  44.5k10.5k