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
Bridging Composite and Real: Towards End-to-end Deep Image Matting

Bridging Composite and Real: Towards End-to-end Deep Image Matting Please note that the official repository of the paper Bridging Composite and Real:

Jizhizi_Li 30 Oct 31, 2022
City Surfaces: City-scale Semantic Segmentation of Sidewalk Surfaces

City Surfaces: City-scale Semantic Segmentation of Sidewalk Surfaces Paper Temporary GitHub page for City Surfaces paper. More soon! While designing s

14 Nov 10, 2022
CondenseNet: Light weighted CNN for mobile devices

CondenseNets This repository contains the code (in PyTorch) for "CondenseNet: An Efficient DenseNet using Learned Group Convolutions" paper by Gao Hua

Shichen Liu 690 Nov 30, 2022
An example project demonstrating how the Autonomous Learning Library can be used to build new reinforcement learning agents.

About This repository shows how Autonomous Learning Library can be used to build new reinforcement learning agents. In particular, it contains a model

Chris Nota 5 Aug 30, 2022
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

ClusterGCN ⠀⠀ A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019). A

Benedek Rozemberczki 697 Dec 27, 2022
yolov5目标检测模型的知识蒸馏(基于响应的蒸馏)

代码地址: https://github.com/Sharpiless/yolov5-knowledge-distillation 教师模型: python train.py --weights weights/yolov5m.pt \ --cfg models/yolov5m.ya

52 Dec 04, 2022
SwinTrack: A Simple and Strong Baseline for Transformer Tracking

SwinTrack This is the official repo for SwinTrack. A Simple and Strong Baseline Prerequisites Environment conda (recommended) conda create -y -n SwinT

LitingLin 196 Jan 04, 2023
Tensorflow implementation of MIRNet for Low-light image enhancement

MIRNet Tensorflow implementation of the MIRNet architecture as proposed by Learning Enriched Features for Real Image Restoration and Enhancement. Lanu

Soumik Rakshit 91 Jan 06, 2023
PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection?

PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park*, Rares Ambrus*, Vitor Guizilini, Jie Li, and Adrien Gaidon.

Toyota Research Institute - Machine Learning 364 Dec 27, 2022
Pre-training of Graph Augmented Transformers for Medication Recommendation

G-Bert Pre-training of Graph Augmented Transformers for Medication Recommendation Intro G-Bert combined the power of Graph Neural Networks and BERT (B

101 Dec 27, 2022
A semismooth Newton method for elliptic PDE-constrained optimization

sNewton4PDEOpt The Python module implements a semismooth Newton method for solving finite-element discretizations of the strongly convex, linear ellip

2 Dec 08, 2022
Fast convergence of detr with spatially modulated co-attention

Fast convergence of detr with spatially modulated co-attention Usage There are no extra compiled components in SMCA DETR and package dependencies are

peng gao 135 Dec 07, 2022
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation

CoTr: Efficient 3D Medical Image Segmentation by bridging CNN and Transformer This is the official pytorch implementation of the CoTr: Paper: CoTr: Ef

218 Dec 25, 2022
Self-Supervised Learning with Kernel Dependence Maximization

Self-Supervised Learning with Kernel Dependence Maximization This is the code for SSL-HSIC, a self-supervised learning loss proposed in the paper Self

DeepMind 29 Dec 29, 2022
Research on Event Accumulator Settings for Event-Based SLAM

Research on Event Accumulator Settings for Event-Based SLAM This is the source code for paper "Research on Event Accumulator Settings for Event-Based

Robin Shaun 26 Dec 21, 2022
A PyTorch implementation of the paper Mixup: Beyond Empirical Risk Minimization in PyTorch

Mixup: Beyond Empirical Risk Minimization in PyTorch This is an unofficial PyTorch implementation of mixup: Beyond Empirical Risk Minimization. The co

Harry Yang 121 Dec 17, 2022
Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.

Lbl2Vec Lbl2Vec is an algorithm for unsupervised document classification and unsupervised document retrieval. It automatically generates jointly embed

sebis - TUM - Germany 61 Dec 20, 2022
Data from "HateCheck: Functional Tests for Hate Speech Detection Models" (Röttger et al., ACL 2021)

In this repo, you can find the data from our ACL 2021 paper "HateCheck: Functional Tests for Hate Speech Detection Models". "test_suite_cases.csv" con

Paul Röttger 43 Nov 11, 2022
General Multi-label Image Classification with Transformers

General Multi-label Image Classification with Transformers Jack Lanchantin, Tianlu Wang, Vicente Ordóñez Román, Yanjun Qi Conference on Computer Visio

QData 154 Dec 21, 2022
Lightweight Salient Object Detection in Optical Remote Sensing Images via Feature Correlation

CorrNet This project provides the code and results for 'Lightweight Salient Object Detection in Optical Remote Sensing Images via Feature Correlation'

Gongyang Li 13 Nov 03, 2022