Reverse Dependencies of kaggle

The following projects have a declared dependency on kaggle:

• a5dev — Helper library for day to day task in a ml engineer's life.
• aia-fairness — Various attributes inferences attacks tested against fairness enforcing mechanisms
• aisimplekit — Simple lib for various machine learning and AI tasks.
• alien-ink — Alien Ink - a personal machine learning toolkit
• aperturedb — ApertureDB Python SDK
• autodatasets — no summary
• caafe — Context-Aware Automated Feature Engineering (CAAFE) is an automated machine learning tool that uses large language models for feature engineering in tabular datasets. It generates Python code for new features along with explanations for their utility, enhancing interpretability.
• chrisrichardmiles — Helpful tools for machine learning and coding.
• cjm-kaggle-utils — Some utility functions for working with the Kaggle API.
• cmem-plugin-kaggle — Import dataset resources from Kaggle.
• cratedb-toolkit — CrateDB Toolkit
• d8 — no summary
• dao-analyzer — "A tool to monitor DAO activity"
• dao-scripts — "A tool to download data to monitor DAO activity"
• datacataloguesystem — This library is used to discover and assign metadata to large unrefined data sets
• dataget — A framework-agnostic datasets library for Machine Learning research and education.
• dataset-format-benchmark — Image dataset format benchmark
• DBD — dbd is a data loading and transformation tool that enables data analysts and engineers to load and transform data in SQL databases.
• democlassi — Collection of my python functions for training pytorch models to classify emotion, age, race, gender
• diffred — Official Implementation of "DiffRed: Dimensionality Reduction guided by stable rank"
• dsmanager — Data Science tools to ease access and use of data and models
• e2eqavn — e2eqavn is end to end pipeline for question answering
• edawesome — Quick, easy and customizable data analysis with pandas and seaborn
• elsa-plotting-wand — Plot experimental results
• faceai-bgimpact — FaceAI-BGImpact implements various generative methods and studies the impact of altering the background on the generated images and the training of the models.
• fahr — Tool for running remote machine learning jobs remotely.
• fastAIcourse — fastAIcourse
• fastim — fastim helps you to import all the necessary ml and dl libraries by writing 1 line Code.
• fastkaggle — Kaggling for fast kagglers!
• featurize-package — Official packages for featurize.
• fintorch — AI4FinTech project repository
• fuggle — Fugue for Kaggle users
• funcyou — useful functions to reuse and save time
• haggle — A facade to Kaggle data
• home-credit — applications of big data project
• hushh-vibe-catalog — no summary
• inspec-ai — Library containing all the prototypes that were developped by the Moov AI product team.
• IslanderDataPreprocessing — module designed to make your data preprocessing experience easier
• ivystar — python tools package of ivystar
• JLpyUtils — General utilities to streamline data science and machine learning routines in python
• kagcolabserver — Automate the kaggle data import portion and run codeserver in that directory
• kaggle-downloader — Download kernels from Kaggle.
• kaggle-runner — Run kaggle kernels, for fast model prototyping.
• kaggle-st-connection — st.connection implementation for Kaggle Public API
• kaggle-util — A utility for working with Kaggle competitions.
• kagglebh — Analyze kaggle dataset: climate-change-earth-surface-temperature
• kaggledatasets — Collection of Kaggle Datasets ready to use for Everyone
• Kaggler — Code for Kaggle Data Science Competitions.
• kaggleupload — kaggleupload
• kernelpipes — Kaggle Kernel Pipelines
• kkt — A tool for kaggle kernel
• lrtree — lrtree: logistic regression trees
• malpolon — Malpolon v1.0.3
• mananeras — Las conferencias mananeras del presidente de México
• mdatasets — An one-stop Python library for dataset compilation and processing.
• meerkat-ml — Meerkat is building new data abstractions to make machine learning easier.
• meta-ml — MetaRL-based Estimator using Task-encodings for AutoML
• mlops-core — no summary
• mlops-ods — no summary
• multimedeval — A Python tool to evaluate the performance of VLM on the medical domain.
• nvdsc — Nvidia Data Science Client Beta
• nvdsw — Nvidia Data Science Workbench
• opendatasets — A curated collection of datasets for data analysis & machine learning, downloadable with a single Python command
• openlake — Public dataset feed.
• openschema — Programmatic catalog of public dataset schemas.
• pipetorch — A data pipeline library for PyTorch and Machine Learning projects
• pulmoscan — An example Python project
• pyaroma — A Framework to for developing Deep Leanring models
• pycurator — Collect data from popular data repositories with ease.
• pyDSlib — General utilities to streamline data science and machine learning routines in python
• pylyrics2 — This package helps you extract and analyse lyrics like a piece of cake!
• pytorch-hyperlight — PyTorch Hyperlight is ML micro-framework built as a thin wrapper around PyTorch-Lightning and Ray Tune frameworks to push the boundaries of simplicity even further.
• pytorch-tao — A toolbox for a specific Machine Learning training project
• retriever — Data Retriever
• rs-datasets — Tool for autodownloading recommendation systems datasets
• seminar-toolkit — Optimized to manage Jupyter Notebook driven courseware with SSGs.
• shapenet — no summary
• sleepkit — AI driven sleep monitoring kit for ultra low-power wearables.
• soorgeon — Convert monolithic Jupyter notebooks into maintainable pipelines.
• sportslabkit — A Python package for sports analytics.
• st-kaggle-connector — Kaggle dataset connector for Streamlit
• tapas-table-parsing — Tapas: Table-based Question Answering.
• tati-tools — Tools for computer vision tasks.
• test-regression-model — Example regression model package from Train In Data.
• tf-models-nightly — TensorFlow Official Models
• tf-models-no-deps — TensorFlow Official Models
• tf-models-official — TensorFlow Official Models
• TFOD-Automatic — Automated Object detection for Beginner using python and Tensorflow
• toai — To AI helper library
• toai-mokahaiku — To AI helper library
• torch-conduit — Lightweight framework for dataloading with PyTorch and channeling the power of PyTorch Lightning
• torchhydro — datasets, samplers, transforms, and pre-trained models for hydrology and water resources
• trojai — TrojAI model and dataset generation library
• viral — Acquiring and analyzing covid-19 (coronavirus) statistics data
• wildlife-datasets — Library for easier access and research of wildlife re-identification datasets