A curated list of awesome projects and resources related fastai

Overview

Awesome fastai Awesome

A curated list of awesome projects and resources related fastai

fastai is a deep learning library which provides practitioners with high-level components that can quickly and easily provide state-of-the-art results in standard deep learning domains, and provides researchers with low-level components that can be mixed and matched to build new approaches.

Note: Only resources that are related to fastai v2 are presented here.


Contents

Libraries

Libraries built with fastai.

Computer Vision

  • UPIT - a fastai/PyTorch package for unpaired image-to-image translation
  • faststyle - aims to provide an easy and modular interface for image to image problems based on feature loss
  • IceVision - an agnostic computer vision framework, pluggable to any training library
  • SemTorch - brings state-of-the-art segmentation architectures into fastai

Natural Language Processing

  • blurr - a library that integrates HuggingFace Transformers with version 2 of the fastai framework
  • fasthugs - use fastai-v2 with HuggingFace's pretrained transformers
  • AdaptNLP - a high-level framework and library for running, training, and deploying state-of-the-art NLP models for end-to-end tasks
  • fastai_ulmfit - a library for pretraining, fine-tuning and training a ULM-FiT classifier

Medical Imaging

  • fmi - additional functionality for use with fastai’s medical imaging module
  • faimed3d - extension to fastai for volumetric medical data

Fastai extensions

Other libraries

  • fastaudio - an audio module for fastai v2
  • tsai - state-of-the-art deep learning library for time series and sequences.
  • FasterAI - a library to make smaller and faster models with fastai
  • self_supervised - implementation of popular SOTA self-supervised learning algorithms as fastai callbacks

Github Repositories

Other Github repositories with useful fastai-related content.

  • fastbook - the Jupyter notebooks for the current edition of fastai book and course.
  • imagenette - a smaller subset of 10 easily classified classes from Imagenet, useful for quick prototyping.
  • FastAI.jl - a version of the fastai libary for the Julia language
  • EagerAI/fastai - an R interface for fastai
  • Over9000 - different SOTA optimizers and fastai training script
  • fast_tabnet - TabNet (SOTA neural network for tabular data) for fastai
  • ManifoldMixupV2 - Manifold-Mixup implementation for fastai v2
  • fastai-batch-size-finder - Implementation of OpenAI paper "An Empirical Model of Large-Batch Training" for fastai v2.

Kaggle Notebooks

Kaggle Notebooks that use fastai. Feel free to fork them and interactively try them out.

Articles

Some of the best articles regarding fastai and deep learning.

Community

Online communities to discuss fastai.

  • fast.ai forums - the OFFICIAL fast.ai forums. Any fastai questions should ideally be asked here. Also check if your questions have already been addressed here by a previous post using the search functionality. Finally, feel free to share your work and projects here.
  • fast.ai Discord server - the OFFICIAL fast.ai Discord server. Useful for more informal discussion of fastai-related content, setting up and participating in study groups, and fastai library development.

Other links

Other relevant links.

  • nbdev - Create delightful python projects using Jupyter Notebooks. fastai v2 is built with nbdev.
  • nbverbose - An inplace extension on fastai's nbdev library to support documenting inputs
  • nbagile - making nbdev compatible for agile frameworks and developments
  • fastpages - An easy to use blogging platform with extra features for Jupyter Notebooks. A great blogging platform for you to share your fastai journey!
  • fast.ai course - the fastai deep learning course.
  • fastaidocs - a great set of cheatsheets for the fastai v2 API.

Contribute

Contributions are welcome! Please submit a pull request with a single contribution only.

Owner
Tanishq Abraham
Tanishq Abraham
Out-of-boundary View Synthesis towards Full-frame Video Stabilization

Out-of-boundary View Synthesis towards Full-frame Video Stabilization Introduction | Update | Results Demo | Introduction This repository contains the

25 Oct 10, 2022
code for paper"A High-precision Semantic Segmentation Method Combining Adversarial Learning and Attention Mechanism"

PyTorch implementation of UAGAN(U-net Attention Generative Adversarial Networks) This repository contains the source code for the paper "A High-precis

Tong 8 Apr 25, 2022
Codes for the AAAI'22 paper "TransZero: Attribute-guided Transformer for Zero-Shot Learning"

TransZero [arXiv] This repository contains the testing code for the paper "TransZero: Attribute-guided Transformer for Zero-Shot Learning" accepted to

Shiming Chen 52 Jan 01, 2023
Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator

DRL-robot-navigation Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gra

87 Jan 07, 2023
Official code release for 3DV 2021 paper Human Performance Capture from Monocular Video in the Wild.

Official code release for 3DV 2021 paper Human Performance Capture from Monocular Video in the Wild.

Chen Guo 58 Dec 24, 2022
This is the official source code of "BiCAT: Bi-Chronological Augmentation of Transformer for Sequential Recommendation".

BiCAT This is our TensorFlow implementation for the paper: "BiCAT: Sequential Recommendation with Bidirectional Chronological Augmentation of Transfor

John 15 Dec 06, 2022
Nerf pl - NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

nerf_pl Update: an improved NSFF implementation to handle dynamic scene is open! Update: NeRF-W (NeRF in the Wild) implementation is added to nerfw br

AI葵 1.8k Dec 30, 2022
(CVPR 2021) Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds

BRNet Introduction This is a release of the code of our paper Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds,

86 Oct 05, 2022
Fast and Simple Neural Vocoder, the Multiband RNNMS

Multiband RNN_MS Fast and Simple vocoder, Multiband RNN_MS. Demo Quick training How to Use System Details Results References Demo ToDO: Link super gre

tarepan 5 Jan 11, 2022
Physical Anomalous Trajectory or Motion (PHANTOM) Dataset

Physical Anomalous Trajectory or Motion (PHANTOM) Dataset Description This dataset contains the six different classes as described in our paper[]. The

0 Dec 16, 2021
PAIRED in PyTorch 🔥

PAIRED This codebase provides a PyTorch implementation of Protagonist Antagonist Induced Regret Environment Design (PAIRED), which was first introduce

UCL DARK Lab 46 Dec 12, 2022
Python scripts form performing stereo depth estimation using the high res stereo model in PyTorch .

PyTorch-High-Res-Stereo-Depth-Estimation Python scripts form performing stereo depth estimation using the high res stereo model in PyTorch. Stereo dep

Ibai Gorordo 26 Nov 24, 2022
Segmentation and Identification of Vertebrae in CT Scans using CNN, k-means Clustering and k-NN

Segmentation and Identification of Vertebrae in CT Scans using CNN, k-means Clustering and k-NN If you use this code for your research, please cite ou

41 Dec 08, 2022
Pytorch implementation for "Adversarial Robustness under Long-Tailed Distribution" (CVPR 2021 Oral)

Adversarial Long-Tail This repository contains the PyTorch implementation of the paper: Adversarial Robustness under Long-Tailed Distribution, CVPR 20

Tong WU 89 Dec 15, 2022
Reproducing Results from A Hybrid Approach to Targeting Social Assistance

title author date output Reproducing Results from A Hybrid Approach to Targeting Social Assistance Lendie Follett and Heath Henderson 12/28/2021 html_

Lendie Follett 0 Jan 06, 2022
Repository features UNet inspired architecture used for segmenting lungs on chest X-Ray images

Lung Segmentation (2D) Repository features UNet inspired architecture used for segmenting lungs on chest X-Ray images. Demo See the application of the

163 Sep 21, 2022
🙄 Difficult algorithm, Simple code.

🎉TensorFlow2.0-Examples🎉! "Talk is cheap, show me the code." ----- Linus Torvalds Created by YunYang1994 This tutorial was designed for easily divin

1.7k Dec 25, 2022
Context-Sensitive Misspelling Correction of Clinical Text via Conditional Independence, CHIL 2022

cim-misspelling Pytorch implementation of Context-Sensitive Spelling Correction of Clinical Text via Conditional Independence, CHIL 2022. This model (

Juyong Kim 11 Dec 19, 2022
A library for graph deep learning research

Documentation | Paper [JMLR] | Tutorials | Benchmarks | Examples DIG: Dive into Graphs is a turnkey library for graph deep learning research. Why DIG?

DIVE Lab, Texas A&M University 1.3k Jan 01, 2023
D2LV: A Data-Driven and Local-Verification Approach for Image Copy Detection

Facebook AI Image Similarity Challenge: Matching Track —— Team: imgFp This is the source code of our 3rd place solution to matching track of Image Sim

16 Dec 25, 2022