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https://github.com/iam-Shashank/awesome-fastai

collection of fastai resources: blog posts, twitter threads etc.
https://github.com/iam-Shashank/awesome-fastai

List: awesome-fastai

deep-learning fastai fastai-tutorials kaggle machine-learning python3 pytorch

Last synced: 3 months ago
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collection of fastai resources: blog posts, twitter threads etc.

Awesome Lists containing this project

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# awesome-fastai :globe_with_meridians: :pushpin:

[![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome#readme)

collection of fastai resources: blog posts, projects, etc.



## Kaggle Links :sparkle:



* [Introduction to Image Augmentation using fastai | Kaggle](https://www.kaggle.com/init27/introduction-to-image-augmentation-using-fastai)

* [Histopathological Cancer Detection](https://www.kaggle.com/sayantandas30011998/fastai-v1-densenet201)

* [Pneumothorax Segmentation using HyperColumns](https://www.kaggle.com/iafoss/hypercolumns-pneumothorax-fastai-0-831-lb)

* [Blindness Detection using EfficientNet](https://www.kaggle.com/hmendonca/efficientnetb4-fastai-blindness-detection)

* [Malaria Detection](https://www.kaggle.com/ingbiodanielh/malaria-detection-with-fastai-v1)

* [Fluke Detection | Radek Osmulski](https://www.kaggle.com/c/humpback-whale-identification/discussion/76281#448231)

* [Bears Dataset](https://www.kaggle.com/stansidel/bears-fastai-course)

* [iMet Starter](https://www.kaggle.com/mnpinto/imet-fastai-starter)

* [Fastai v2 Pipeline Tutorial](https://www.kaggle.com/jhoward/fastai-v2-pipeline-tutorial)



and more.... :shipit:



## Github Links :sparkle:

* [github.com/asvcode/fastai_resources](https://github.com/asvcode/fastai_resources)

* [mgrankin/over9000: Over9000 optimizer](https://github.com/mgrankin/over9000)

* [KushajveerSingh/fastai_without_fastai: Useful fastai methods like lr_find, fit_one_cycle in pure PyTorch (no need to import fastai)](https://github.com/KushajveerSingh/fastai_without_fastai)

* [mogwai/fastai_audio: 🔊️ Audio with Fastai](https://github.com/mogwai/fastai_audio)

* [SSD using fastai](https://github.com/rohitgeo/singleshotdetector)

* [Water Classifier](https://github.com/shankarj67/Water-classifier-fastai)

* [Protein Atlas fastai](https://github.com/wdhorton/protein-atlas-fastai)

* [Google Retrieval Challenge 2019](https://github.com/ducha-aiki/google-retrieval-challenge-2019-fastai-starter)

* [Fastai for Medical AI](https://github.com/renato145/fastai_scans)



## Forum Gems :sparkle: [Join](https://forums.fast.ai/)

* [Lesson 1 links to different parts in video - Part 1 (2019) - Deep Learning Course Forums](https://forums.fast.ai/t/lesson-1-links-to-different-parts-in-video/27581)

* [Tips for building large image datasets - Part 1 (2019) - Deep Learning Course Forums](https://forums.fast.ai/t/tips-for-building-large-image-datasets/26688/6)

* [Geospatial Deep Learning resources & study group - Part 1 (2019) - Deep Learning Course Forums](https://forums.fast.ai/t/geospatial-deep-learning-resources-study-group/31044)

* [Productionizing models thread - fastai users - Deep Learning Course Forums](https://forums.fast.ai/t/productionizing-models-thread/28353)

* [Most Important lesson learned](https://forums.fast.ai/t/most-important-lesson-learned/8623/7)

* [Finding Data Block Nirvana (a journey through the fastai data block API)](https://blog.usejournal.com/finding-data-block-nirvana-a-journey-through-the-fastai-data-block-api-c38210537fe4)

* [Understanding callbacks in fastai • Pierre Ouannes](https://pouannes.github.io/blog/callbacks-fastai/)

* [Introduction to Image Augmentations using the fastai library](https://hackernoon.com/introduction-to-image-augmentations-using-the-fastai-library-692dfaa2da42)

* [Things Jeremy says to do - Part 1 (2019) - Deep Learning Course Forums](https://forums.fast.ai/t/things-jeremy-says-to-do/36682)

* [Things Jeremy says to do (Part 2) - Part 2 (2019) - Deep Learning Course Forums](https://forums.fast.ai/t/things-jeremy-says-to-do-part-2/41533)

* [ImageNette/Woof Leaderboards - guidelines for proving new high scores? - fastai users - Deep Learning Course Forums](https://forums.fast.ai/t/imagenette-woof-leaderboards-guidelines-for-proving-new-high-scores/52714/19)



## Blogposts :sparkle:

* [UPDATED FOR 2019! Learn Machine Learning & Deep Learning with us: TWiML x Fast.ai Study Group - This Week in Machine Learning & AI](https://twimlai.com/twiml-x-fast-ai/)

* [Building Web App for Computer Vision Model & Deploying to Production in 10 Minutes\*: A Detailed Guide](https://towardsdatascience.com/building-web-app-for-computer-vision-model-deploying-to-production-in-10-minutes-a-detailed-ec6ac52ec7e4)

* [Deep Learning Web App by fastai v1 - Pierre Guillou - Medium](https://medium.com/@pierre_guillou/deep-learning-web-app-by-fastai-v1-3ab4c20b7cac)

* [10 New Things I Learnt from fast.ai v3 – Towards Data Science](https://towardsdatascience.com/10-new-things-i-learnt-from-fast-ai-v3-4d79c1f07e33)

* [Class and Method in 2 lines](https://pbs.twimg.com/media/D9oEBy1VUAA8jfa?format=jpg&name=large)

* [Matrix Multiplication — Part2 Lesson8 – Towards Data Science](https://towardsdatascience.com/matrix-multiplication-part2-lesson8-34c9b77855c4)

* [Announcing fast.ai part 1 now available as Kaggle Kernels](https://towardsdatascience.com/announcing-fast-ai-part-1-now-available-as-kaggle-kernels-8ef4ca3b9ce6)

* [Track and organize fastai experimentation process in Neptune](https://medium.com/neptune-ml/track-and-organize-fastai-experimentation-process-in-neptune-78ec8d6b18b0)



## YouTube :sparkle:

* [This Week in Machine Learning & AI - YouTube](https://www.youtube.com/channel/UC7kjWIK1H8tfmFlzZO-wHMw/playlists)

* [Data Science Network](https://www.youtube.com/channel/UCmKaoNn0OvxVAe7f_8sXYNQ/playlists)

* [Fastai Webinar Series](https://www.youtube.com/playlist?list=PLUu6crCNTDeSzbtXYuPMoLUpFfN0o_Fxs)

* [Fast.ai ML by Rachel Thomas](https://www.youtube.com/playlist?list=PLtmWHNX-gukKocXQOkQjuVxglSDYWsSh9)

* [Computational Linear Algebra by Rachel Thomas](https://www.youtube.com/playlist?list=PLtmWHNX-gukIc92m1K0P6bIOnZb-mg0hY)



###  :star2: this repo if you loved it