Alternatives and similar repositories for trimap

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

• cvxgrp / pymde
  Minimum-distortion embedding with PyTorch
  ☆575Updated 7 months ago
• beringresearch / ivis
  Dimensionality reduction in very large datasets using Siamese Networks
  ☆342Updated 3 months ago
• wilsonjr / humap
  Hierarchical Uniform Manifold Approximation and Projection
  ☆239Updated 11 months ago
• hyungkwonko / umato
  Uniform Manifold Approximation with Two-phase Optimization (IEEE VIS 2022 short)
  ☆114Updated 5 months ago
• jmschrei / apricot
  apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models qui…
  ☆526Updated 2 months ago
• maxfrenzel / CompressionVAE
  General-purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder, implemented in TensorFlow.
  ☆161Updated last year
• fastcluster / fastcluster
  Fast hierarchical clustering routines for R and Python.
  ☆157Updated 3 weeks ago
• jmschrei / torchegranate
  A temporary repository hosting a pomegranate re-write using PyTorch as the backend.
  ☆73Updated 2 years ago
• timsainb / ParametricUMAP_paper
  Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…
  ☆152Updated 5 years ago
• YingfanWang / PaCMAP
  PaCMAP: Large-scale Dimension Reduction Technique Preserving Both Global and Local Structure
  ☆914Updated this week
• scikit-learn-contrib / skglm
  Fast and modular sklearn replacement for generalized linear models
  ☆191Updated 4 months ago
• lmcinnes / pynndescent
  A Python nearest neighbor descent for approximate nearest neighbors
  ☆958Updated last month
• lmcinnes / glasbey
  Algorithmically create or extend categorical colour palettes
  ☆227Updated 3 months ago
• PAIR-code / understanding-umap
  Understanding the theory behind UMAP
  ☆189Updated 2 weeks ago
• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆249Updated 7 months ago
• talboger / fastdist
  Faster distance calculations in python using numba
  ☆59Updated 2 years ago
• janezd / baycomp
  ☆76Updated last year
• fehiepsi / rethinking-numpyro
  Statistical Rethinking (2nd ed.) with NumPyro
  ☆467Updated 9 months ago
• KlugerLab / FIt-SNE
  Fast Fourier Transform-accelerated Interpolation-based t-SNE (FIt-SNE)
  ☆609Updated 4 years ago
• pyro-ppl / funsor
  Functional tensors for probabilistic programming
  ☆245Updated 2 years ago
• ml-jku / hopular
  Hopular: Modern Hopfield Networks for Tabular Data
  ☆313Updated 3 years ago
• TutteInstitute / vectorizers
  Vectorizers for a range of different data types
  ☆103Updated 4 months ago
• kevinzakka / torchnca
  A PyTorch implementation of Neighbourhood Components Analysis.
  ☆400Updated 5 years ago
• mathurinm / celer
  Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.
  ☆237Updated 8 months ago
• berenslab / contrastive-ne
  Contrastive neighbor embeddings
  ☆57Updated 3 months ago
• czbiohub-sf / xicor
  xi correlation method adapted for python
  ☆150Updated 3 years ago
• jgraving / selfsne
  Self-Supervised Noise Embeddings (Self-SNE)
  ☆158Updated 10 months ago
• scikit-learn-contrib / scikit-dimension
  A Python package for intrinsic dimension estimation
  ☆96Updated 4 months ago
• rlouf / mcx
  Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.
  ☆329Updated last year
• pafoster / pyitlib
  A library of information-theoretic methods for data analysis and machine learning, implemented in Python and NumPy.
  ☆103Updated 8 months ago