Code and notes for the fast.ai deep learning course
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Updated
May 22, 2017 - Jupyter Notebook
Code and notes for the fast.ai deep learning course
GitHub repo for fast.ai course project team #117
Assignments from Deeplearning.ai and Fast.ai
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.
Bird Species Classifier built with Fast.ai 🐦
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.
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.
This is simple image classifier of dogs and cats. This model classifies images based on their particular breeds.
A deep learning model that detects whether a person has worn a mask or not, real-time.
Player detection for every cricketer playing in ICC Cricket World Cup 2019
An Image Classification Model for Predicting Skin Diseases particularly in Rural India
because https://cups.fast.ai/ could be a lot more UI/UX friendly :) @fastai
Machine Learning model for classifying different types of recyclable plastic bottles (Base Model - Test)
This project used Neural Networks and Deep Learning to Classify Tweets into Positive, Negative, Neutral, Extremely Positive, and Extremely Negative
This project used Neural Networks and Deep Learning to classify pictures of checks whether they are blurry or not.
Dedicated to Machine Learning discipline
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