Reverse Dependencies of sklearn

The following projects have a declared dependency on sklearn:

• fedgp — A package for model agreggation in federated learning using Gaussian processes
• fedml-afaf — A research and production integrated edge-cloud library for federated/distributed machine learning at anywhere at any scale.
• fedsim — Generic Federated Learning Simulator with PyTorch
• feverous — Repository for Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS), used for the FEVER Workshop Shared Task at EMNLP2021.
• ffl — Forcast Federated Learning
• ffx — Fast Function Extraction: A fast, scalable, and deterministic symbolic regression tool.
• fibs-reporter — Automatically generate a pdf report containing feature importance, baseline modelling, spurious correlation detection, and more, from a single command line input
• finetunetags — A Framework for Finetuning Transformers for Named-Entity Recognition
• finfest-quant-open-toolbox — Toolbox for Auquan's Finfest Open
• fingerprints-unam-colab — Extraction of fingerprint and palm data from grayscale images.
• finmeter — Hyphenator and poem analysis for Finnish
• fishscale — A tool to split large image, especially useful with image segmentation
• flag-identification — Identify a flag by an image
• flame-timec — Anomaly detection on scientific datasets
• flame-unsup-b — Anomaly detection on scientific datasets
• flass — Train Keras Convolutional Neural Network for image classification
• fleksychallenge — Part 1 of the Fleksy NLP challenge
• flerken — PyTorch extension with simplified trainer.
• flerken-nightly — PyTorch extension with simplified trainer.
• flexi-hash-embedding — PyTorch Extension Library of Optimized Scatter Operations
• fluffypancakes — Detect Phishing Websites using Machine Learning
• fluidai-sanatio — Run different validation tests on machine learning models.
• fmridenoise — fMRIDenoise - automated denoising, denoising strategies comparison, and functional connectivity data quality control.
• fmvmm — flexible multivariate mixture model
• fn-graph — Manage, maintain and reuse complex function graphs without the hassle.
• forcasting — Predict the value any this like car price share market
• forecasttime — Python package to integrate the workflow of a variety of time series forecast methods
• formation-indus-ds-chaimae — Demonstration pour la formation indus de la data science
• foucluster — Clustering of songs using Fourier Transform
• fpgaconvnet-model — Parser and model for Convolutional Neural Network Streaming-Based Accelerator on FPGA devices.
• fplanalytics — Util to perform FPL Analytics
• frat-brain — Application for ROI fMRI data analysis.
• freezerbox — Database of DNA sequences.
• frenchnlp — State of the art toolchain for natural language processing in French
• frmodel — The base package to support frmodel data processing
• ftis — The finding things in stuff package.
• fummytransformers — Fast and dummy way of using transformers to establish quick baselines
• fundamentals-of-data-science — Companion Python package for Fundamentals of Data Science.
• funny-clustering — no summary
• Galfgets — Package with several util functions to evade the wasting of time
• ganutils — This is an installable python package for scripts I wrote for myself.
• GAparsimony — Combines feature selection, model tuning, and parsimonious model selection with GA optimization. GA selection procedure is based on separate cost and complexity evaluations. Therefore, the best individuals are initially sorted by an error fitness function, and afterwards, models with similar costs are rearranged according to modelcomplexity measurement so as to foster models of lesser complexity. The algorithm can be run sequentially or in parallel.
• gbart — A python package to implement Variable Grouping Based Bayesian Additive Regression Tree, associated with ICASSP2020 submitted paper
• gbdi-tourism-platform-lib — private python packages for tourism-platform
• GBNN — Gradient Boosted Neural Network.
• gc-overrides — no summary
• gcpds-mi — no summary
• gebaSpike — gebaSpike - GUI designed to improve manual spike sorting of in-vivo electrophysiology data.
• gecosistema-learning — A small example package
• geltea — no summary
• gemben — Benchmark for Graph Embedding Algorithms
• gen-info-est-tools — Package for information estimation, independence test, causal structure mining, etc.
• GENDIS — Contains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all experiments.
• gene-outlier-detection — A Bayesian model for identifying gene expression outliers for individual single samples (N-of-1) when compared to a cohort of background datasets.
• genebench — Benchmark-ing framework used in analyzing methods that detect deferentially expressed genes from biological samples
• GeneClust — Cofunctional grouping-based feature gene selection for unsupervised scRNA-seq clustering
• genephys — Generative model of empirical electrophysiological signals
• general-ner — seq2seq_labeling
• genereg — A library for analyzing the regulation systems of target genes belonging to genomic pathways relevant for a specific cancer type.
• genetic-optimizer — Genetic algorithm optimizer using K-Means clustering with one way ANOVA algorithms.
• genevector — Single Cell GeneVector Library
• genfact — A model agnostic and gradient-free optimization method for generating counterfactuals
• genice-twist — Twist analysis plugin for GenIce.
• genice2-twist — Twist analysis plugin for GenIce.
• geniepy — Gene-Disease relationship trend detection
• GEO-ADPTC — Adaptive Density Peak Tree Clustering
• geoapidata — GeoAPI do TerraLab
• GeoPatch — GeoPatch is a package for generating patches from remote sensing data
• gft — GFT (general fine-tuning) A Little Language for Deepnets: 1-line programs for fine-tuning, inference and more
• gft-cpu — GFT (general fine-tuning) A Little Language for Deepnets: 1-line programs for fine-tuning, inference and more
• GlioMRInter — no summary
• glmdenoise — Python GLMdenoise
• GMMchi — GMM with chi-square protocol
• GMMchi-scs-pipeline — Pre-print version of the GMMchi-based single cell postprocessing pipeline
• gnes — GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.
• gnip-trend-detection — Trend/spike detection on time series from Twitter
• gnntf — Graph neural networks on tensorflow
• gnss-models — Tool to generate and evaluate mathematical models from GNSS satellites u-center csv files
• Gobuubstackmodel — Personal Python lib for used on EDA's and train ML models
• goldilox — A tool for deploying machine learning
• goodorfs — A a tool to find coding orfs
• gosdt — Implementation of General Optimal Sparse Decision Tree
• gps-ms — A self-denoising and machine-learning based statistical generalized peakgroup scoring algorithm for SWATH-MS data
• gpx-trip — Extract stops and journeys from gpx traces
• grace-qui-face-mask-detection-model — Covid-19 control face mask detection model
• GradientDescent — Makes learning gradient descent easy
• GraFT-Python — Python implementation for the GraFT model presented in https://pubmed.ncbi.nlm.nih.gov/35533160/
• graph-clustering — Clusters objects found in astronomical images by their visual similarity
• graspnetAPI — graspnet API
• gray-box-clf — classificaion witout wax
• grc1-toolbox — Toolbox for QQ15
• greenbook-shocks — Estimates the Greenbook narrative shocks
• Greenformer — Automatic Factorization package for PyTorch modules
• greenviz — Greenviz is a package to support students/ users, who face difficulty in comprehending machine learning and data analytics algorithms. Greenviz uses the python programming constructs to run various learning algorithms. Hence users can understand working of various learning algorithms practically and visually.
• grinding-lib — Demo Python Library for Siemens Grinding project
• GroupTesting — Group testing for SARS-CoV-2 in large populations.
• guap — no summary
• gym-idsgame — An Abstract Cyber Security Simulation and Markov Game for OpenAI Gym
• gym-PBN — A Gymnasium environment modelling Probabilistic Boolean Networks and Probabilistic Boolean Control Networks.
• gym-vim — no summary