harsh9524 Goto Github PK

aquatrash

A dataset of Trash Images for the proper waste management and protection of Aquatic Life

capsgnn

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

classify-food-images-using-cnn

Applying CNN on a dataset of food images and classify them into different types of food.

coca

Capsule Network based Contrastive Learning of Unsupervised Visual Representations

computational-creativity

contrastive-unpaired-translation

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

conversational-ai-chatbot-using-practical-seq2seq

A simple open domain generative based chatbot based on Recurrent Neural Networks

covid-caps

A Capsule Network-based framework for identification of COVID-19 cases from chest X-ray Images

covid-widenet

A Capsule Network based approach to detect diagnosing COVID-19 cases using Chest X-ray (CXR) images.

covid19_detector

Using Deep Learning to detect Covid-19 from X-Ray/CT scans of patients

covid_ct_dataset

ctf-tools

tổng hợp tool ctf

custom-phrase-detection-for-reminders

Our aim here is to build a model using NLP which will be able to detect the custom messages/phrases that user wants to set the reminder for (if present), given a set of queries containing reminders.

data

Original data FER2013

ecommerce

We're going to take you step-by-step to build a modern, fully open-source, eCommerce web application using Python, Django, Bootstrap, Javascript, and more.

education4.0

Adaptive learning system

effcontcapsnet

Official TensorFlow code for the paper "Efficient-CapsNet: Capsule Network with Self-Attention Routing".

emotion-analysi-cv

harsh9524.github.io

hsa-nrl

Hard Sample Aware Noise Robust Learning forHistopathology Image Classification

image-processing

Image Classification

ivy

The Unified Machine Learning Framework

j-kart

E-commerce Web Application using Django.

jyc

Website for the Student Body of JUIT

karpathy.github.io

my blog

meals-app-flutter-android-ios

mes-dataset

midas

MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams. Fast and real-time anomaly detection in edge streams from dynamic (time-evolving) graphs

ml-class-assignments

Programming Exercises on http://ml-class.org

mobile_app