Reverse Dependencies of joblib
The following projects have a declared dependency on joblib:
- dspy-ai — DSPy
- dspy-ml — Demonstrate-Search-Predict
- DssPyLib — 2-D Finite Element Package
- dstk-x250 — Package d'utilitaires pour les projets de data science.
- DSUL — Utility Library for Data Scientists
- dsx — The utilities pack for data science and analytics tasks.
- dtit — A decision-tree based conditional independence test
- dtwParallel — Python implementation of Dynamic Time Warping (DTW), which allows computing the dtw distance between one-dimensional and multidimensional time series, with the possibility of visualisation (one-dimensional case) and parallelisation (multidimensional case).
- DuckDuckGoImages — Download images from DuckDuckGo
- duelpy — Dueling Bandit Algorithms in Python
- dummyML — Automated data analysis pipelines on tabular data for data analyst
- DupliPy — A package for formatting and text replication, with added support for image augmentation.
- dynadojo — An extensible platform for benchmarking sample efficiency in dynamical system identification
- dynamicgem — A Python library for Dynamic Graph Embedding Methods
- dynamicviz — DynamicViz provides a wrapper for generating and interpreting dynamic visualizations from traditional static dimensionality reduction visualization methods
- dynapipe — Dynamic Pipeline is a high-level API to help data scientists building models in ensemble way, and automating Machine Learning workflow with simple coding.
- dynetlsm — dynetlsm
- dyneusr — Dynamical Neural Spatiotemporal Representations.
- E2EPyPPG — An End-to-End PPG processing pipeline: from quality assessment and motion artifacts romval to HR/HRV extraction
- e2fyi-utils — General utils for interacting with aws resources.
- eals — eALS - Element-wise Alternating Least Squares
- eargait — *Eargait* provides a set of algorithms and functions to process IMU data recorded with ear-worn IMU sensors and to estimate characteristic gait parameters.
- earth2observe — remote sensing package
- easierai-common-functions — This library contains reusable code for various projects
- easierai-trainer-library — This library contains AI code for training purposes.
- easierSDK — This library contains code for interacting with EASIER.AI platform.
- easy-augment — End to end software to capture new objects using RGBD camera and augment them to get a annotated dataset to train deep nets.
- easyexplore — Toolbox for easy and effective data exploration
- EasyMLLIB — EasyMLLIB
- easypheno — state-of-the-art and easy-to-use plant phenotype prediction
- easySum — You can easily summarize the text.
- easytransfer — PAI EasyTransfer Toolkit
- ecg-noise-detector — Detect noise in ECGs
- ecghelper — Tools to load and process electrocardiogram data.
- ecgtools — ESM Catalog Generation Utilities
- ecoform-alvin — Economic models
- econ-ark — Heterogenous Agents Resources & toolKit
- econml — This package contains several methods for calculating Conditional Average Treatment Effects
- econometricMethodsESAN — Economic models
- ecubevis — Earth CUBE VISualization with Python
- edk2-pytool-library — Python library supporting UEFI EDK2 firmware development
- edu-segmentation — To improve EDU segmentation performance using Segbot. As Segbot has an encoder-decoder model architecture, we can replace bidirectional GRU encoder with generative pretraining models such as BART and T5. Evaluate the new model using the RST dataset by using few-shot based settings (e.g. 100 examples) to train the model, instead of using the full dataset.
- eduardo-gces-poetry — no summary
- education-inquiry-package — no summary
- eeg-emotion-recognition — no summary
- EEMs-toolkit — EEMs_toolkit是一个可以在Python上对三维荧光(EEM)进行平行因子分析(PARAFAC)的工具包,功能大致类似于MATLAB的drEEM toolbox。
- eigenstrapping — For generating surrogate brain maps with spatial autocorrelation using geometric eigenmodes.
- eir-dl — no summary
- emagpy — API for FDEM inversion and data manipulation
- email-txt-classification — compiled packages
- embarrassing — A package to embarrassingly parallelize your code
- embeddingdb — A package for storing and querying knowledge graph embeddings
- emd — Empirical Mode Decomposition
- emergenet — Superfast Risk Estimation of Emerging Pathogens
- emerquant-dev — description
- emgfit — Fitting of time-of-flight mass spectra with Hyper-EMG models
- emm — Entity Matching Model package
- empulse — Value-driven metrics and models for scikit-learn
- emutils — Miscellanous Python Utilities
- emxps — Miscellanous Explanation Methods
- end-to-end-ML-project — End to End ML Project
- end2endML — Automated data analysis pipelines on tabular data for data analyst
- energyplus_wrapper — Wrapper able to run energy-plus in parallel, directly from python.
- enformer-dna-diff — This is a package for that combines DeepMind Enformer model with DNA Diffusion project
- ENGR131-2024 — ENGR131_2024 package
- ensemble-integration — Ensemble Integration: a customizable pipeline for generating multi-modal, heterogeneous ensembles
- eo-grow — Earth observation framework for scaled-up processing in Python
- eodal — The Earth Observation Data Analysis Library EOdal
- epigraphhub — Epigraphhub Python package
- epiout — EpiOut: outlier detection for DNA accesibility data.
- erlab — Python package for ARPES data analysis and visualization.
- ertk — Tools for process emotion recognition datasets, extracting features, and running experiments.
- escnn — E(n)-Equivariant CNNs Library for PyTorch
- esdap — Epileptic Seizure Detection and Prediction from EEG data
- ESINet — Solves the M/EEG inverse problem using artificial neural networks with Python 3 and the MNE library.
- eslearn — This project is designed for machine learning in resting-state fMRI field
- ESMValTool — ESMValTool: A community diagnostic and performance metrics tool for routine evaluation of Earth system models in CMIP.
- ESPNN — Electronic Stopping Power Neural Network predictor
- estim8 — Conduct parameter estimations for Dymola and FMU models
- estim8Beta — Conduct parameter estimations for Dymola and FMU models
- estimagic — Tools to solve difficult numerical optimization problems.
- estyp — Extended Statistical Toolkit Yet Practical
- EtaML — An automated machine learning platform with a focus on explainability
- ethik — A toolbox for fair and explainable machine learning
- ethomap — Generate behavioral embeddings of postural time series.
- ethsential — EthSential package for Python-Guide.org
- etna — ETNA is the first python open source framework of Tinkoff.ru AI Center. It is designed to make working with time series simple, productive, and fun.
- eukfindertest2 — A small demo package
- EUKulele — A package to make the process of taxonomically classifying microbial eukaryotes easier.
- eurovoc — Extract EuroVoc from the EU website
- evalipy — Evalipy is a framework for evaluating & comparing machine learning models.
- evalne — Open Source Network Embedding Evaluation toolkit
- evaluateqa — no summary
- eventdetector-ts — EventDetector introduces a universal event detection method for multivariate time series. Unlike traditional deep-learning methods, it's regression-based, requiring only reference events. The robust stacked ensemble, from Feed-Forward Neural Networks to Transformers, ensures accuracy by mitigating biases. The package supports practical implementation, excelling in detecting events with precision, validated across diverse domains.
- evodcinv — Inversion of dispersion curves using Evolutionary Algorithms
- evolutionary-forest — An open source python library for automated feature engineering based on Genetic Programming
- evolutune — A Genetic Algorithm-based hyperparameter tuner for machine learning models.
- exabyte — Distributed learning.
- exasol-bucketfs — BucketFS utilities for the Python programming language
- exclusiveAI — An inefficient (for the moment) neural network with numpy