There are 24 repositories under fastai topic.
The fastai deep learning library
The fastai book, published as Jupyter Notebooks
The 3rd edition of course.fast.ai
Create delightful python projects using Jupyter Notebooks
An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
A site that displays up to date COVID-19 stats, powered by fastpages.
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
Python supercharged for the fastai library
An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come
:speech_balloon: An On-Premises, Streaming Speech Recognition System
Temporary home for fastai v2 while it's being developed
Repository of best practices for deep learning in Julia, inspired by fastai
Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"
:book: [译] fast.ai 机器学习和深度学习中文笔记
The code to reproduce results from paper "MultiFiT: Efficient Multi-lingual Language Model Fine-tuning" https://arxiv.org/abs/1909.04761
Pretrain and finetune ELECTRA with fastai and huggingface. (Results of the paper replicated !)
Food detection and recommendation with deep learning
中文ULMFiT 情感分析 文本分类
fastai V2 implementation of Timeseries classification papers.
Starter app for fastai v3 model deployment on Render
Create publication-quality books from Jupyter notebooks
Plant Disease Detector Web Application
FasterAI: Prune and Distill your models with FastAI and PyTorch
A fast way to turn your python function into a script
A list of extensions for the fastai library.
TensorDash is an application that lets you remotely monitor your deep learning model's metrics and notifies you when your model training is completed or crashed.
FastAI PyTorch Serverless API (w/ AWS Lambda)
Docker images for fastai
Detecting cinema shot types using a ResNet-50
Documentation for Ross Wightman's timm image model library