Reverse Dependencies of sklearn
The following projects have a declared dependency on sklearn:
- nclick — Code for Laziness.
- ndmg — Neuro Data MRI to Graphs Pipeline
- neat-ml — Neural-network Embedding All the Things
- nely-df3d — GUI and 3D pose estimation pipeline for tethered Drosophila.
- neos — UpUpstream optimization of a neural net summary statistic with respect to downstream inference goals.
- NERDA — A Framework for Finetuning Transformers for Named-Entity Recognition
- NERDA-Con — Extending NERDA Library for Continual Learning
- nestedhyperboost — A wrapper for conducting Nested Cross-Validation with Bayesian Hyper-Parameter Optimized Gradient Boosting
- nestedhyperline — A wrapper for conducting Nested Cross-Validation for Bayesian Optimized Linear Regularization
- neural-response-map — Library to visualize the activations of the hidden layers of artificial neural networks
- neuralnets — A library, based on PyTorch, that implements basic neural network algorithms and useful functions
- neureca — A framework for building conversational recommender systems
- neuroboom — A suite of python tools for visualisation and analysis of Connectomic data
- neurokit — A Python Toolbox for Statistics and Signal Processing (EEG, EDA, ECG, EMG...).
- new-face — Face Recognition Tools
- newsegmentation — Package for news segmentation architecture.
- newspick — Slim Iris Model
- nfer-image — utilities for working with images
- nidmd — Dynamic Mode Decomposition of time-series fMRI
- nightingale — Python library for simplifying statistical analysis and making it more consistent
- nina-helper — Utiltiy functions for workign on the NinaPro Databases (1 & 2)
- nlntest — A Package for nonlinearity test of nuivariate and multivariate time series
- nlp-gym — NLPGym - A toolkit for evaluating RL agents on Natural Language Processing Tasks
- nlp-nn — NLP NN Framework
- NlpHub — A wrapper around Spacy, NLTK and uses some other libraries to perform Simple NLP tasks with less code.
- NLQF — A tool for fittering code comments
- nmtvis — A visualization toolkit for NMT(Neural Machine Translation) system.
- nn-trainer — Neural Network Trainer
- NN4MSP — Neural network based control charting for multiple stream processes
- NN4OCMSP — Neural network out-of-control signal interpretation in multiple stream processes
- nnrf — Neural Network with Random Forest Structure
- nnunet — nnU-Net. Framework for out-of-the box biomedical image segmentation.
- nnunet-inference-on-cpu-and-gpu — nnU-Net. Framework for out-of-the box biomedical image segmentation. Can do inference on both gpu(if cuda available) and cpu(if cuda not available)
- nnvis — Visualizing tool for PyTorch NN models
- nocode-autonn — An AutoML framework for deep learning
- nolds — Nonlinear measures for dynamical systems (based on one-dimensional time series)
- nomeroff-net — Automatic numberplate recognition system
- NonlinTest — Package for nonlinearity test of nuivariate and multivariate time series
- normalize-easy — This package implements normc(), normr() and normv() functions to easily normalize columns and rows of a matrix, and vectors respectively.
- novigo — A small example package
- nproc — Neyman-Pearson (NP) Classification Algorithms and NP Receiver Operating Characteristic (NP-ROC) Curves
- NREL-shift — Generate synthetic feeders using open street map data
- nrl — Network representation learning in Python
- NTAP — NTAP - CSSL
- nttc — A set of functions that process and create topic models from a sample of community-detected Twitter networks' tweets. It can process and visualize network data across periods and communities.
- nullWriter — Hello
- num-fh — numeric fused-head identification and resolution
- nutai — no summary
- nwt-dataset-cli — Dataset Generate CLI
- nylon-ai — An interactive grammar of machine learning.
- oasis — Optimal Asymptotic Sequential Importance Sampling
- occasion-analysis-package — Python package to do analysis on Occasion
- ocrd-keraslm — character-level language modelling in Keras
- octid — One-Class learning-based tool for Tumor Image Detection
- ode-composer — Building ODE models from data
- offensivenn — Offensive Language Identification with Neural Networks
- olive-oil-ml — For slowing down deep learning research
- OmicsIntegrator — no summary
- omniclip — no summary
- omolab-conf-analysis — Uses PCA and K-means clustering to separate conformational ensembles. (xyz-files only)
- oneat-augmentations — Augmentations for volume, planar segmentation, classification image segmentation and associated csv file of oneat clicks.
- oneat-slim — Static and Dynamic classification tool.
- onetrack — A simple evaluation tool for particle tracking
- ood-detection — OOD Detection Library built using nbdev
- oooo — Commonly used python utilities.
- OpenBioSeq — Open Bio-sequence Toolbox for Supervision and Self-Supervision Learning
- openbt — the Python interface for Dr. Matthew Pratola's OpenBT project - allows the user to perform BART (Bayesian Additive Regression Trees) fits and predictions on datasets.
- opendelta — An open source framework for delta learning (parameter efficient learning).
- openkiwi — Machine Translation Quality Estimation Toolkit
- opennn-pytorch — Neural Networks library for image classification task.
- OpenRV — no summary
- openstf — Open short term forcasting
- optdash — A third-party dashboard for optuna.
- optichill — Machine Learning Package for chiller plant efficiency
- orange-cb-recsys — Python Framework for Content-Based Recommeder Systems
- orbis-plugin-scoring-wl-harvest-scorer — The Weblyzard Harvest Scroring plugin for Orbis
- oriondsc-pkg-rioatmadja2018 — Engines to collect data.
- orionmlengines-pkg-rioatmadja2018 — ML Engines to support ORION Project.
- osl — OHBA Software Library
- osrt — Implementation of Optimal Sparse Regression Trees
- ou-tm129-py — Python environment for TM129
- outlier-analysis — Automatically detect, remove, and retrieve outliers using Standard Deviation, DBSCAN and Local Outlier Factor
- p-mod-api — Propelwise Modules
- p-tree — A program for counting CFUs in petri dishes
- p2022 — Propelwise Modules
- p3-data — A variety of utility functions to analyze results data produced by the P3 Test Driver.
- package-Kolekar — no summary
- package-rling — no summary
- packetvisualization — packet visualization
- paddledet — Object detection and instance segmentation toolkit based on PaddlePaddle
- paddlehelix — PaddleHelix is a machine-learning-based bio-computing framework.
- page-rank-engine — Page Rank Engine
- pai-easycv — EasyCV framework
- pailab — pailab the integrated machine learning workbench
- paint-by-numbers — Paint By Numbers Creator
- palmiche — A python package for automation of MD simulations
- pandemic-simulation — "Life simulation" of a SEIR inspired model to better understand pandemic using python
- papolarity — Papolarity is a tool to analyze polarity of transcriptomic alignments such as Ribo-seq and RNA-seq.
- papyrus-ai — High-level grammar interface for ML
- paragrid — Simple parallelized grid search to find the best hyperparameters