The fastai deep learning library

The fastai book, published as Jupyter Notebooks

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

Create delightful software with Jupyter Notebooks

The 3rd edition of course.fast.ai

基于大模型的智能对话客服工具，支持微信、拼多多、千牛、哔哩哔哩、抖音企业号、抖音、抖店、微博聊天、小红书专业号运营、小红书、知乎等平台接入，可选择 GPT3.5/GPT4.0/ 懒人百宝箱 （后续会支持更多平台），能处理文本、语音和图片，通过插件访问操作系统和互联网等外部资源，支持基于自有知识库定制企业 AI 应用。

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

The fast.ai course notebooks

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

Super easy library for BERT based NLP models

A site that displays up to date COVID-19 stats, powered by fastpages.

Notes for Fastai Deep Learning Course

Python supercharged for the fastai library

An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come

The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.

:speech_balloon: An On-Premises, Streaming Speech Recognition System

Temporary home for fastai v2 while it's being developed

fast.ai early development experiments

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

minLoRA: a minimal PyTorch library that allows you to apply LoRA to any PyTorch model.

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

Swift for TensorFlow's high-level API, modeled after fastai

:book: [译] fast.ai 机器学习和深度学习中文笔记

Plant Disease Detector Web Application

Pretrain and finetune ELECTRA with fastai and huggingface. (Results of the paper replicated !)

Implementation of popular SOTA self-supervised learning algorithms as Fastai Callbacks.

Documentation for Ross Wightman's timm image model library

A library that integrates huggingface transformers with the world of fastai, giving fastai devs everything they need to train, evaluate, and deploy transformer specific models.

Food detection and recommendation with deep learning

The code to reproduce results from paper "MultiFiT: Efficient Multi-lingual Language Model Fine-tuning" https://arxiv.org/abs/1909.04761