Reverse Dependencies of fastai

The following projects have a declared dependency on fastai:

• adaptnlp — An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.
• adv-ml — A modular and easy-to-use framework of adversarial machine learning algorithms: https://en.m.wikipedia.org/wiki/Adversarial_machine_learning
• aglite-test.tabular — AutoML for Image, Text, and Tabular Data
• ai-python — Microsoft AI Python Package
• aideml — Autonomous AI for Data Science and Machine Learning
• aipalette-nlp — Ai Palette NLP toolkit
• autodl-gpu — Automatic Deep Learning, towards fully automated multi-label classification for image, video, text, speech, tabular data.
• autogluon.tabular — Fast and Accurate ML in 3 Lines of Code
• autogluon-tonyhu-test.tabular — AutoML for Image, Text, and Tabular Data
• banet — A deep learning approach for mapping and dating burned areas using temporal sequences of satellite images
• bellek — My digital memory
• benchscofi — Package which contains implementations of published collaborative filtering-based algorithms for drug repurposing.
• bio-corgi — Classifier for ORganelle Genomes Inter alia
• biobert-bern — Use bioBERT via BERN to label biomedical terms in docs
• bnlm — Bengali Language Model
• bundestag — Download, parse and analyse votes in the german federal parliament, aka 'Bundestag'
• celldeath — A tool to identify cell death based on deep learning
• CloudS2Mask — Python library for cloud and cloud shadow segmentation in Sentinel-2
• cmtt — A library for processing Code Mixed Text. Still in development!
• custom-glue — glue between fastai and hugging face's transformers
• deepflash2 — A Deep learning pipeline for segmentation of fluorescent labels in microscopy images
• DiffEdit — An implementation of the DiffEdit algorithm for prompt-based mask creation and inpating. For more information, see the Readme file.
• Djaizz — Artificial Intelligence (AI) in Django Applications
• dl-pipeline — A Deep Learning Pipeline
• donkeycar — Self driving library for python.
• dreamai-dl — Deep Learning tools based on dreamai.
• dreamai-ray — DreamAI platform leveraging RAY.
• dvclive — Experiments logger for ML projects.
• ecglib — ECG library with pretrained models and tools for ECG analysis
• espiownage — Ownage of ESPI image inference
• experiment-utils — Helpers utils for manage and track experiments.
• fast-label-studio — no summary
• fast-rl — Fastai for computer vision and tabular learning has been amazing. One would wish that this would be the same for RL. The purpose of this repo is to have a framework that is as easy as possible to start, but also designed for testing new agents.
• fastai-category-encoders — Category encoders integrated with Fast.ai
• fastai-datasets — Leveraging fastai to easily load and handle datasets
• fastai-ml — A Python package to get helper functions for ML while using latest fastai.
• fastai-prims — Fastai Image Processing primitives
• fastai-rawpy — fastai-rawpy connects fast.ai with RawPy, so now fast.ai supports RAW image files
• fastai-splunk — fastai-splunk allows you to import Splunk data using fastai
• fastai-ulmfit — Easy to use pretrained-models for fast.ai ULMFiT
• fastai-xla-extensions — A library to extend fastai to run on TPUs using pytorch-xla
• fastaibreadcrumbs — Breadcrumbs for fastai users
• fastaudio — Audio Module for fastai version 2
• fastBio — Deep learning for biological sequences with fastai
• fastbook — Deep Learning for Coders, 2020
• fastdebug — A library that improves the debugging messages for Pytorch and fastai
• fasterai — A library to make neural networks lighter and faster with fastai
• fastgs — Geospatial (Sentinel2 Multi-Spectral) support for fastai
• fasthugs — A description of your project
• fastim — fastim helps you to import all the necessary ml and dl libraries by writing 1 line Code.
• fastinference — A collection of inference modules
• fastMONAI — fastMONAI library
• fastpapers — Fastai implementation of papers.
• fastpredict — A few helper utilities to make it simpler to perform fastai inference/prediction
• fastproaudio — End-to-end audio with fastai
• fastrl2 — fastrl is a reinforcement learning library that extends Fastai. This project is not affiliated with fastai or Jeremy Howard.
• fastshapv1 — A shap wrapper for fastai
• fastsom — A PyTorch and Fastai based implementation of Self-Organizing Maps
• fastsparse — Fastai+PyTorch implementation of sparse model training methods (SET, SNFS, and RigL).
• faststyle — Fast style transfer API
• fastxtend — Train fastai models faster (and other useful tools)
• fedot-ind — Automated machine learning framework for time series analysis
• FireHR — High-resolution burned areas using Sentinel-2 data
• flowsy — A simple way to get recommendations
• giganticode-langmodels — A toolkit for applying machine learning to large source code corpora
• hacktcha — no summary
• henrys-model-utils — no summary
• hugdatafast — The elegant bridge between hugginface data and fastai
• huggingface-hub — Client library to download and publish models, datasets and other repos on the huggingface.co hub
• icevision — Agnostic Computer Vision Framework
• image-tabular — Integrate image and tabular data for deep learning
• inltk — Natural Language Toolkit for Indian Languages (iNLTK)
• ipfspy — A python library by Algovera to interact with IPFS and IPFS ecosystem such as the common pinning services
• jai — Just Assemble IT! - A LEGO-style & PyTorch-based Deep Learning Library
• keraTorch — A keras like wrapper for pytorch
• langchain-ray — LangChain leveraging Ray.
• lazybox — A description of your project
• lemonpie — An open source deep learning library for Electronic Health Record (EHR) data
• misas — Model Interpretation through Sensitivity Analysis for Segmentation
• MLexamples — Machine Learning
• modelscope — ModelScope: bring the notion of Model-as-a-Service to life.
• modelzoo-client — The Model Zoo Python Client
• mopnette — Wrapper for quantizing vision models
• mrspuff — A library for Deep Learning education.
• neptune-fastai — Neptune.ai fast.ai integration library
• nlpbook — Applied Natural Language Processing in the Enterprise - An O'Reilly Media Publication
• object-detection-fastai — Uses RetinaNet with FastAi
• ohmeow-blurr — A library designed for fastai developers who want to train and deploy Hugging Face transformers
• optuna-integration — Integration libraries of Optuna.
• pimms-learn — Imputing (MS-based prote-) omics data using self supervised deep learning models
• plant-pathology — My submission the (completed) Plant Pathology 2020 competition on Kaggle.
• pnwcybersec — A deep learning malware detection module.
• pre-ai-python — Microsoft AI Python Package
• profetorch — Time series prediction with fastai, pytorch and prophet
• pyimgy — A small library of image tools for Python
• radionets — Imaging radio interferometric data with Neural Networks.
• recommenders — Microsoft Recommenders - Python utilities for building recommender systems
• reformer-fastai — Fastai community entry to 2020 Reproducibility Challenge
• rhelpers — Rorys little helpers
• ringkasan — no summary