L'organizzazione fast.ai ha una presenza pubblica su GitHub caratterizzata da una vasta gamma di repository focalizzati sull'apprendimento automatico e la programmazione. Utilizzando linguaggi come Jupyter Notebook e Python, i progetti più noti includono la libreria fastai e il libro fastbook, entrambi ampiamente utilizzati nella comunità di sviluppatori e ricercatori.
The fastai deep learning library
The fastai book, published as Jupyter Notebooks
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
fast.ai Courses
The 3rd edition of course.fast.ai
The fast.ai course notebooks
An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
A Code-First Introduction to NLP course
Get a MacOS or Linux shell, for free, in around 2 minutes
Hackers' Guide to Language Models
A smaller subset of 10 easily classified classes from Imagenet, and a little more French
Deep Learning for Coders, 2020, the website
Getting started with diffusion
Temporary home for fastai v2 while it's being developed
fast.ai early development experiments
course.fast.ai 2022 part 2
Swift for TensorFlow's high-level API, modeled after fastai
Please use fastbook's /clean folder instead of this
Template for nbdev projects
Documentation for Ross Wightman's timm image model library
Nessuna descrizione fornita per questo repository.
Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program
A template for really easy blogging with GitHub Pages
Create publication-quality books from Jupyter notebooks
Notes and plans for fastdiffusion course
Docker images for fastai
OLD REPO - PLEASE USE fastai/fastai
A fast way to turn your python function into a script
Notebooks for upcoming fastai book (draft / incomplete)
This contains materials for the word embeddings workshop
AWS EC2 computer management for regular folks
v1 of the fastai library. v2 is the current version. v1 is still supported for bug fixes, but will not receive new features.
Website for Practical Deep Learning for Coders 2022
Fit your tensorflow model using fastai and PyTorch
A queue service for quickly developing scripts that use all your GPUs efficiently
A bit of extra usability for sqlalchemy v2.
Information for readers of the fastai book
A simple wrapper over `pydot` and `graphviz` which fixes some sharp edges
The fastai book, 2nd edition (in progress)
Kaggling for fast kagglers!
Process and export Jupyter Notebooks fast (Jupyter not required)
demos for PyBay talk: Using Randomness to make code faster
Research repo for code that may or may not end up in fastai3
A minimal template for creating a pypi package
Easily download, verify, and extract archives
Minimal JS interface to an image classifer
Nessuna descrizione fornita per questo repository.
Nessuna descrizione fornita per questo repository.
A forest that is fast
A minimal Python kernel so you can run Python in your Python
Simplified installation of WireGuard server for Ubuntu
Demo bear classifier with fastai and Voila
Documentation for fastai
much faster nbstripout and autotrust notebooks local git configuration
Draw, modify, and execute graphs using a simple python dict interface
fast.ai APL study group notes
Make your own mask. My mask protects you. Your mask protects me.
Get packages onto your conda channel faster
A fastcgi handler for Python's `socketserver` classes
Tools to make git easier to use and to avoid the learning curve
Use GitHub Actions to send a tweet when you make a new release
The fast.ai data ethics course
Setup a paperspace instance for fastai
An easy way to start a python programming environment using GitHub Codespaces.
Materials for "Write, Document, Test and Distribute Python Packages With Jupyter & Quarto", JupyterCon 2023.
DEPRECATED--all functionality moved to nbdev
Karras et al. (2022) diffusion models for PyTorch
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Check local static links and online links fast and in parallel
See what's happening on GitHub in real time
Web site source for Practical Deep Learning for Coders (2018)
A minimal example of nbdev based on Allen Downey's Think Python 2nd Ed
Document parameters using comments
Deep learning certificate part 1
Simple approach to getting the Caddy web server
A simple GitHub webhook server
Hugo with goldmark-mathjax
GloVe model for distributed word representation
A sample of how to create a deck of cards lib using nbdev
Nessuna descrizione fornita per questo repository.
Nessuna descrizione fornita per questo repository.
A demo of how to create a Hugging Face Space with gradio within a nbdev project.
The world’s fastest framework for building websites.
Hello world from nbdev
Wrapper for plum dispatch to make it more compatible with fastcore's typedispatch
A CLI tool for showing GitHub events, written with Rich
Please see answerdotai/fastsql
Jupyter Notebook / J Integration
A simple uv workspace
Build a conda package from a setuptools project
Exploring how nbdev may integrate with JupyterBook
Get tweets for a single user
latest.fast.ai server
Dyalog APL ←→ Python interface
Org level Actions workflows to greet new contributors who open an issue or PR for the first time automatically
Quarto website
Documentation lookup from nbdev index
Testing repo for ghapi
Anaconda Server Client
Extract thumbnails from Jupyter notebooks
fastai sviluppa vari progetti su GitHub, tra cui la libreria fastai per il deep learning e il fastbook, un libro interattivo. Questi strumenti sono progettati per facilitare l'apprendimento e l'applicazione dell'intelligenza artificiale.
fastai utilizza principalmente Jupyter Notebook e Python, insieme ad altri linguaggi come Shell, HTML, CSS e Vim Script. Questa varietà consente di coprire diversi aspetti della programmazione e dello sviluppo di software.
Sì, tutti i repository di fastai su GitHub sono pubblici. Ciò consente a chiunque di accedere e contribuire ai progetti, promuovendo un ambiente di apprendimento collaborativo e aperto nella comunità di sviluppo.
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