Interactive Tools for Machine Learning, Deep Learning and Math

Building and Deploying A Serverless Text Classification Web App

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

🔔 No need to keep checking your training - just one import line and you'll know the second it's done.

The assignment was based on detecting fake reviews and sentiment analysis

Uses the keras and tensorflow library along with sequential neural networks having dense and flatten layers to predict whether a user is a loyal customer of a bank or not. It usesLEAKY RELU activat…

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

Association Rule is meant to uncover associations between items in a set of transactions (ex. a grocery/retail store)

Implemented image caption generation method propossed in Show, Attend, and Tell paper using the Fastai framework to describe the content of images. Achieved 24 BLEU score for Beam search size of 5.…

Image Caption Generator implemented using Tensorflow and Keras in a Python Jupyter Notebook. The goal is to describe the content of an image by using a CNN and RNN.

以Flickr8k为数据集，Pytorch为框架，实现图像标注

Custom image classification:- model trained with teachablemachine with google and deployed in android application

Recommender Systems and Collaborative Filtering

Image Denoising with Generative Adversarial Network

Development of a Deep Learning Model to Diagnose Pulmonary Embolism

In this competition, we’ll predict a patient’s severity of decline in lung function based on a CT scan of their lungs. We’ll determine lung function based on output from a spirometer, which measure…

This is Our approch for the kaggle Competition for OSIC Pulmonary Fibrosis Progression

1st place solution of OSIC Pulmonary Fibrosis Progression competition at Kaggle

Silver Medal Solution (70th place)

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

A collection of chicken photos. Useful for training computer vision models to identify chickens.

Approaching (Almost) Any Machine Learning Problem

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

This project aims to count the retail objects present in the image. It uses OpenCV and Deep Learning models to count the images

Source code of Indian Paper Currency Classification 🔥

A class made to listen to a voice and convert it into text.