Reverse Dependencies of joblib
The following projects have a declared dependency on joblib:
- dcor — dcor: distance correlation and energy statistics in Python.
- dcss — Utilities for the book Doing Computational Social Science
- ddf_utils — Commonly used functions/utilities for DDF file model.
- ddmra — A Python package for distance-dependent motion-related artifact (DDMRA) analysis.
- ddmtools — A Python library for doing differential dynamic microscopy on polydisperse samples
- dea-tools — Functions and algorithms for analysing Digital Earth Australia data.
- deafrica-tools — Functions and algorithms for analysing Digital Earth Africa data.
- deep-forest — Deep Forest
- deep-image-matching — Multiview matching with deep-learning and hand-crafted local features for COLMAP and other SfM software.
- DeepARG — no summary
- deepART — A library for family of adaptive resonance theory neural networks
- deepBreaks — deepBreaks: a machine learning tool for identifying and prioritizing genotype-phenotype associations
- deepcalo — Package for doing deep supervised learning on ATLAS data.
- deepchem — Deep learning models for drug discovery, quantum chemistry, and the life sciences.
- deepcomp — DeepCoMP: Self-Learning Dynamic Multi-Cell Selection for Coordinated Multipoint (CoMP)
- deepdialog — NLP tool
- deeploy — The official Deeploy client for Python
- deepmol — DeepMol: a python-based machine and deep learning framework for drug discovery
- deepof — no summary
- deepracer-utils — A set of tools for working with DeepRacer training
- deeprob-kit — A Python Library for Deep Probabilistic Modeling
- deepsemhist — deep_semantic_histology: Deep Semantic Representations for Cancer Histology Images
- deepsig — Easy Significance Testing for Deep Neural Networks.
- deeptexture — deep_texture_histology: Deep Texture Representations for Cancer Histology Images
- DeerLab — Comprehensive package for data analysis of dipolar EPR spectroscopy
- DeFi-Assessment — A prototype project to perfrom risk assessment for DeFi lending platforms.
- delayed-reactant-labeling — A toolbox for analysis of Delayed Reactant Labeling experiments.
- delira — no summary
- demo-2 — demo_2
- Demo-pkg-sarikamohan08 — A small demo package
- demort — DEmultiplexing MOnitoring Report Tool
- demultiplexer — python script to demultiplex illumina reads tagged with the leeselab tagging scheme
- demuxalot — Scalable and reliable demulitplexing for single-cell RNA sequencing.
- density_forest — Density Forest library for confidence estimation and novelty detection
- deployme — minimalistic ML-models auto deployment tool
- detectree — Tree detection from aerial imagery in Python.
- devolearn — Accelerate data driven research in developmental biology with deep learning models
- dexp — Light-sheet Dataset EXploration and Processing
- dffml-model-daal4py — DFFML model daal4py
- dffml-model-scikit — no summary
- dffml-model-xgboost — DFFML model dffml-model-xgboost
- dgb — Package for 'Towards better dynamic link prediction' paper at NeurIPS 2022, the code provides download, processing, dataloading and evaluation code for a suite of dynamic graph datasets.
- dgbpy-dm — Useful dgb stuff.
- dgllife — DGL-based package for Life Science
- dh-scikit-optimize — A Modified version of scikit-optimize a Sequential model-based optimization toolbox for DeepHyper.
- diapysef — Analysis, conversion and visualization of diaPASEF data.
- dicodile — Distributed Convolutional Dictionary Learning
- dictys — Context specific and dynamic gene regulatory network reconstruction and analysis
- dienen — Train deep neural networks using configuration files
- differences — difference-in-differences estimation and inference in Python
- difflearn — Some useful tools for differential network inference with python.
- diffprivlib — IBM Differential Privacy Library
- DigCNV — DigCNV: Discriminating True CNVs from artifacts from genotyping without further visualisation
- digcommpy — Package for digitial communications functions
- digitalarztools — Digital Arz tools for applications
- DigitalRover — Tweet archiver for use with doltpy (awaiting conversion to be able to be installed as a module)
- dijkprofile-annotator — Automatically annotate dijkprofiles in qDAMEdit format
- dimensionality-reduction-package — no summary
- dimepy — Python package for the high-throughput nontargeted metabolite fingerprinting of nominal mass direct injection mass spectrometry.
- dirty_cat — Machine learning with dirty categories.
- discern-reconstruction — Wasserstein Auto-Encoder for expression reconstruction
- discotoolkit — DISCOtoolkit is an python package that allows users to access data and use the tools provided by the DISCO database.
- disformers — Huggingface transformers for discord.
- distclassipy — A python package for a distance-based classifier which can use several different distance metrics.
- distfit — distfit is a python library for probability density fitting.
- distil-primitives — Distil primitives as a single library
- Distinct-Keywords — no summary
- diver — diver is a series of tools to speed up common feature-set investigation, conditioning and encoding for common ML algorithms
- diversampling — An unsupervised methodology to implement a diversified under-sampling process to deal with the extremely imbalanced binary classification problem
- divik — Divisive iK-means algorithm implementation
- Djaizz — Artificial Intelligence (AI) in Django Applications
- djmix — no summary
- DL-ANN-pkg-VaibhavJoshi95 — A small package for perceptron
- dl4ds — Deep Learning for empirical DownScaling
- dlds-client — Python API for Deep Learning DS from Data Spree.
- DLTKDL — DLTKDL is a wrapper for TensorFlow and Keras that makes deep learning and AI more accessible and easier to apply
- dmae — TensorFlow implementation of the dissimilarity mixture autoencoder (DMAE)
- dmae-gpu — TensorFlow implementation of the dissimilarity mixture autoencoder (DMAE)
- dmppl — Dave McEwan's Personal Python Library
- DMT-core — Device Modeling Toolkit Core
- dnattend — AutoML classifier for predicting patient non-attendance (DNA)
- dnn-cool — DNN.Cool: Multi-task learning for Deep Neural Networks (DNN).
- doc-curation — A package for curating doc file collections, with ability to sync with youtube and archive.org doc items.
- docsrag — Generates evaluation dataset for fine-tuning LLM
- docTagger — This Library tells about catagory of article/blog
- docType — This Library tells about catagory of article/blog
- DocumentFeatureSelection — Various methods of feature selection from Text Data
- dodfminer — no summary
- doger — An awesome log utils for python, enjoy~
- doommoses — DoomMoses
- dorkylever-lama-phenotype-detection — Phenotype detection pipeline for finding abnormalities in mouse embryos
- DosNa — Distributed Object-Store Numpy Array (DosNa)
- doter — A dotfile manager
- DoubleML — Double Machine Learning in Python
- doubt — Bringing back uncertainty to machine learning.
- dowhy — DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions
- drain — pipeline library
- dran — Data reduction and analysis of HartRAO 26m telescope drift scans
- drdigit-brezniczky — A digit doctoring detection package
- DRecPy — Deep Recommenders with Python: A Python framework for building Deep Learning based Recommender Systems