The fastai deep learning library

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Notes for Fastai Deep Learning Course

Repository of best practices for deep learning in Julia, inspired by fastai

Mish Deep Learning Activation Function for PyTorch / FastAI

AI web application that detects diseases in plants using FastAi /resnet34 and other deep learning models.

Use Unity to generate synthetic images for deep learning image segmentation in PyTorch and fastai

All my deep learning notes: contains v1 of machine learning with Jeremy Howard, and v1 of Fastai Deep Learning 2018 part 1

Deep Learning with fastai Cookbook, published by Packt

Deep Learning from the Foundations with Elixir. This repository is a transformation of the 2022 version of Fast.ai's Deep Learning for Coders Part 2 into Elixir. These code notebooks follow the notebooks from the [first portion](https://github.com/fastai/course22p2) of the course.

My projects for fast.ai's Deep Learning from the Foundations course (fast.ai part2v3)

Deep learning library for biological sequences. Extension of Fastai and Pytorch.

Review materials for the TWiML Study Group. Contains annotated versions of the original Jupyter noteboooks (look for names like *_jcat.ipynb ), slide decks from weekly Zoom meetups, etc.

FastAI-inspired generic deep learning framework

Deep Learning CNN using FastAI for the Stanford MRNet Knee MRI diagnosis challenge

Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD - the book and the course

A study group for v4 of the fastai introduction to deep learning course with a focus on applications in GLAM settings

Deep Learning-based Skin Cancer Classification using FastAI and ResNet | Includes dataset, Jupyter Notebook, PR & ROC curves, confusion matrix, and literature review.

Deep Learning Experiments Motivated from Fastai Course

Instance segmentation deep learning model built using PyTorch and fastai to classify rooftops and calculate their solar PV potential.

A deep learning library specialised for meta-learning, based on fastai and Pytorch

Code implementations for the book Deep Learning for Coders with fastai and PyTorch

This is the official repository for all the material accompanying my Pluralsight course "Getting Started NLP Deep Learning with PyTorch and fastai"

My projects for fast.ai's Practical Deep Learning for Coders course (fast.ai part1v3)

Fastai implementation of Evidential Deep Learning to Quantify Classification Uncertainty

Deep Learning for text classification with Torchtext, PyTorch & FastAI

This work is inspired by the fastai course 2019 edition "Practical deep learning for coders" v3

End-to-end audio deep learning with fastai

[fastai] web-app that uses deep learning to increase image quality

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.