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 — Time series analysis framework
- 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 — Recommenders - Python utilities for building recommendation systems
- reformer-fastai — Fastai community entry to 2020 Reproducibility Challenge
- rhelpers — Rorys little helpers
- ringkasan — no summary
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