Alternatives and similar repositories for BanditPAM

Users that are interested in BanditPAM are comparing it to the libraries listed below

• facebookresearch / balance
  The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to s…
  ☆702Updated 2 weeks ago
• HazyResearch / flyingsquid
  More interactive weak supervision with FlyingSquid
  ☆315Updated 5 years ago
• koaning / doubtlab
  Doubt your data, find bad labels.
  ☆514Updated last year
• czbiohub-sf / xicor
  xi correlation method adapted for python
  ☆150Updated 3 years ago
• SimonBlanke / Hyperactive
  An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
  ☆529Updated last week
• raphaelsty / cherche
  Neural Search
  ☆333Updated last year
• brendanartley / Regressio
  A python library for univariate regression, interpolation, and smoothing.
  ☆342Updated 2 years ago
• google / graph-mining
  ☆706Updated last month
• ARM-software / mango
  Parallel Hyperparameter Tuning in Python
  ☆419Updated 7 months ago
• alegonz / baikal
  A graph-based functional API for building complex scikit-learn pipelines.
  ☆589Updated 2 years ago
• cvxgrp / pymde
  Minimum-distortion embedding with PyTorch
  ☆560Updated 3 months ago
• Dicklesworthstone / fast_vector_similarity
  The Fast Vector Similarity Library is designed to provide efficient computation of various similarity measures between vectors.
  ☆404Updated 7 months ago
• qdrant / quaterion
  Blazing fast framework for fine-tuning similarity learning models
  ☆657Updated last week
• stitchfix / hamilton
  A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton
  ☆859Updated 2 years ago
• BCG-X-Official / facet
  Human-explainable AI.
  ☆525Updated last month
• koaning / human-learn
  Natural Intelligence is still a pretty good idea.
  ☆821Updated last year
• SimonBlanke / Gradient-Free-Optimizers
  Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
  ☆1,246Updated last week
• firmai / deltapy
  DeltaPy - Tabular Data Augmentation (by @firmai)
  ☆554Updated 2 years ago
• amakelov / mandala
  A simple & elegant experiment tracking framework that integrates persistence logic & best practices directly into Python
  ☆531Updated 8 months ago
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆541Updated 2 years ago
• ml-jku / hopular
  Hopular: Modern Hopfield Networks for Tabular Data
  ☆311Updated 3 years ago
• koaning / embetter
  just a bunch of useful embeddings for scikit-learn pipelines
  ☆517Updated 2 weeks ago
• YingfanWang / PaCMAP
  PaCMAP: Large-scale Dimension Reduction Technique Preserving Both Global and Local Structure
  ☆849Updated 3 weeks ago
• fabsig / GPBoost
  Combining tree-boosting with Gaussian process and mixed effects models
  ☆637Updated this week
• loglabs / mltrace
  Coarse-grained lineage and tracing for machine learning pipelines.
  ☆469Updated 2 years ago
• explosion / curated-transformers
  🤖 A PyTorch library of curated Transformer models and their composable components
  ☆893Updated last year
• FlorianDietz / comgra
  A tool to analyze and debug neural networks in pytorch. Use a GUI to traverse the computation graph and view the data from many different…
  ☆290Updated 10 months ago
• LukasZahradnik / PyNeuraLogic
  PyNeuraLogic lets you use Python to create Differentiable Logic Programs
  ☆300Updated 3 weeks ago
• facebookresearch / beanmachine
  A library that allows for inference on probabilistic models
  ☆271Updated last year
• jmschrei / apricot
  apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models qui…
  ☆517Updated 4 months ago