It is an Image Processing Challenge where we have to identify the Aerial Cactus using Deep Learning Techniques. I have used fastai library to make this work even easier.

because https://cups.fast.ai/ could be a lot more UI/UX friendly :) @fastai

This is simple image classifier of dogs and cats. This model classifies images based on their particular breeds.

This project helps in analysis how employee is feeling the institution they are working on. Moreover, we are also summarizing the overall review given by employee according to section 'HR' of a company wants.

Bird Species Classifier built with Fast.ai 🐦

An Image Classification Model for Predicting Skin Diseases particularly in Rural India

Code and notes for the fast.ai deep learning course

An app which uses a pre-calculated model to classify tweet sentiment.

A small api which uses a pre-calculated model to classify bug images.

A deep learning model that detects whether a person has worn a mask or not, real-time.

This project used Neural Networks and Deep Learning to classify pictures of checks whether they are blurry or not.

Dedicated to Machine Learning discipline

Assignments from Deeplearning.ai and Fast.ai

This project used Neural Networks and Deep Learning to Classify Tweets into Positive, Negative, Neutral, Extremely Positive, and Extremely Negative

GitHub repo for fast.ai course project team #117

Based on yolov5 training mask wearing detection, and inference and deployment on faskai.

Player detection for every cricketer playing in ICC Cricket World Cup 2019

Computer Vision Tasks