Reverse Dependencies of nbdev

The following projects have a declared dependency on nbdev:

• adv-ml — A modular and easy-to-use framework of adversarial machine learning algorithms: https://en.m.wikipedia.org/wiki/Adversarial_machine_learning
• alphabase — An infrastructure Python package of the AlphaX ecosystem
• atlassianhw — Atlassian application homework
• banet — A deep learning approach for mapping and dating burned areas using temporal sequences of satellite images
• bellek — My digital memory
• betting-env — Create a custom GYM environment to simulate trading strategy.
• cfnet — A counterfactual explanation library using Jax
• chisel-nbdev — Port of nbdev to write SCALA / chisel library entirely in notebooks
• chrisrichardmiles — Helpful tools for machine learning and coding.
• code-tokenizers — Aligning BPE and AST
• conding — Python library for analysing and modelling bonding curves. This library is managed using nbdev with application development in python param panel.
• coreg — 'Notebook-based version of our coregistration tools'
• counterfactual — This project is a framework for counterfactual analysis
• decorrelation — An InSAR postprocessing tool
• deep-t2i — My Experiments of Text to Image by Deep Learning
• diffpose — Patient-specific intraoperative 2D/3D registration via differentiable rendering
• diffusion-curvature — Fast, pointwise graph curvature
• diin-text — Basic math
• directlfq — An open-source Python package of the AlphaPept ecosystem
• django-fileresponse — Serving files directly from Django
• dl-pipeline — A Deep Learning Pipeline
• dlg-home-content — model to identify tv sizes using images
• domolibrary — no summary
• domolibrary-extensions — integrate google docs with github
• dreamai-obj — Object Detection using dreamai.
• ds-tut — Base infrastructure for data science tutorials
• dslectures — Course materials for introductory data science
• dword — Deep word utilities in Python
• ecutilities — Set of utility functions used on regular basis
• ElexonDataPortal — no summary
• explainax — JAX-based Model Explanation and Interpretation Library
• fast-neptune — NeptuneML wrapper to quickly record data about experiments
• fastai-datasets — Leveraging fastai to easily load and handle datasets
• fastai2 — Version 2 of the fastai library
• fastbet — Create a custom gym environment to simulate simple betting strategy.
• fastcgi — A fastcgi handler for Python's `socketserver` classes
• fastcore — Python supercharged for fastai development
• fastdoc — Convert jupyter notebooks to asciidoc
• fastMONAI — fastMONAI library
• fastrl — fastrl is a reinforcement learning library that extends Fastai. This project is not affiliated with fastai or Jeremy Howard.
• fastxtend — Train fastai models faster (and other useful tools)
• featsql — Create features with sql
• findmycells — An end-to-end bioimage analysis pipeline with state-of-the-art tools for non-coding experts
• fiscaliza — Essa biblioteca utiliza a API do Redmine para extrair informações da plataforma Fiscaliza da Anatel e atualizar inspeções
• flayout — Thin functional/declarative wrapper around the KLayout Python API
• forensicface — A package for forensic face examination
• hepml — Practical machine learning for particle physicists
• hierarchicalforecast — Hierarchical Methods Time series forecasting
• HighResAnalysis — Analysis of High Resolution Data from CERN and DESY beam tests
• I2T2 — Suite of useful tools for manipulating medical images.
• ifcimglib — Library containing read, and preprocessing functions for imaging flow cytometry images contained in Lightning Memory-mapped Databases (lmdb).
• ipymock — A Tool that Allows You Run PyTest within Jupyter Notebook Cells
• javiche — A JAX wrapper around ceviche to make interoperability easier. In the future it might make sense to update ceviche itself to use JAX internally.
• jax-dataloader — Dataloader for jax
• jax-relax — JAX-based Recourse Explanation Library
• jaxDiversity — jax implementation for metalearning neuronal diversity
• jovsatools — A collection of tools
• keywords2vec — To generate a word2vec model, but using multi-word keywords instead of single words.
• kicad-helpers — Scripts, templates, and examples for managing KiCad projects.
• leximpact-common-python-libraries — Python libraries for LexImpact projects
• leximpact-prepare-data — Prepare data for LexImpact
• lib2nbdev — A small library for converting existing libraries and projects to nbdev
• lib2nbdev2 — A small library for converting existing libraries and projects to nbdev
• limonata — A marvellous resource for giving your plots the perfect touch of color they deserve.
• lovely-grad — 🫀 Lovely Grad - tiny tensors need some love
• malayalam-asr-benchmarking — A study to benchmark whisper based ASRs in Malayalam
• meeglet — Morlet Wavelets for M/EEG analysis
• metagentools — Set of tools used for metagenomics research project
• mezzala — A package for soccer modelling
• ml-playground-attention — no summary
• ml-toolkit — 'Toolkit for ML code!'
• MLexamples — Machine Learning
• mlforecast — Scalable machine learning based time series forecasting
• model-inspector — Inspect machine learning models
• moraine — Modern Radar Interferometry Environment, A simple, stupid InSAR postprocessing tool in big data era
• nbagile — Writing collaborative libraries with nbdev
• nbd-colab — Wrapper, resources and documentation around fastai nbdev to streamline literate programming in Google Colaboratory.
• nbdep — Generate `Pipfile` from `nbdev` `settings.ini` file
• nbdev-extensions — Cool nbdev extensions I've thought of
• nbdev-ignore — add an ignore directive to hide the cell and avoid execution during testing and docs generation in Jupyter notebooks when using nbdev for development.
• nbdev-mkdocs — Extension of nbdev for generating documentation using Material for Mkdocs instead of Quarto
• nbdoc — Generate beautiful, testable documentation with Jupyter Notebooks
• nbmodular — Convert notebooks to modular code
• nbverbose — A helpful extension for nbdev geared towards better documentation
• neoscr — Wrapper to query the SCR api
• neuralforecast — Time series forecasting suite using deep learning models
• nixtla — Python SDK for Nixtla API (TimeGPT)
• nixtlats — Python SDK for Nixtla API (TimeGPT)
• nlpbook — Applied Natural Language Processing in the Enterprise - An O'Reilly Media Publication
• oae — Optimal Action Extraction for Random Forests and Boosted Trees
• ohmeow-blurr — A library designed for fastai developers who want to train and deploy Hugging Face transformers
• pandas-missing — A pandas extension to explore and handling missing values.
• paramfittorchdemo — How to use pytorch to fit parameters of differential equations
• pdpatch — New methods for pandas DataFrame and Series.
• peptdeep — The AlphaX deep learning framework for Proteomics
• perplexed — Find out where your model is perplexed!
• pikaQ — Programmatically generate SQL queries for different database platforms.
• pixel.nbdev.test — test export
• polvo — A collection of computer vision tools that fits anywhere
• polvosetups — Setups your envs