Alternatives and similar repositories for LMM-Python:

Users that are interested in LMM-Python are comparing it to the libraries listed below

• gwgundersen / dpcca
  Code for the paper "End-to-end training of deep probabilistic CCA on paired biomedical observations".
  ☆25Updated 3 years ago
• tjiagoM / gtex-transcriptome-modelling
  Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits
  ☆11Updated 3 years ago
• TammoR / LogicalFactorisationMachines
  ☆21Updated 5 years ago
• blengerich / Personalized_Regression
  Personalized Regression
  ☆16Updated 5 years ago
• ahmedmalaa / AutoPrognosis
  Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.
  ☆56Updated 4 years ago
• cantinilab / OT-scOmics
  This Python package will allow you to replicate the experiments from our research on applying Optimal Transport as a similarity metric in…
  ☆38Updated 2 years ago
• ioanabica / DiffVAE
  Code for Nature Scientific Reports 2020 paper: "Unsupervised generative and graph neural methods for modelling cell differentiation" by I…
  ☆18Updated 4 years ago
• PierreBoyeau / decision-making-vaes
  ☆19Updated 3 years ago
• kasparmartens / BasisVAE
  PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders
  ☆41Updated 5 years ago
• lujonathanh / BETS
  Bootstrap Elastic net regression from Time Series is a vector-autoregressive approach to causal inference from gene expression time serie…
  ☆18Updated 2 years ago
• QData / AttentiveChrome
  NeurIPS17: [AttentiveChrome] Attend and Predict: Using Deep Attention Model to Understand Gene Regulation by Selective Attention on Chrom…
  ☆27Updated 4 years ago
• idc9 / py_jive
  A data analysis package for high-dimensional, multi-block data.
  ☆12Updated 3 years ago
• yangzi4 / iNMF
  Source code for integrative nonnegative matrix factorization
  ☆18Updated 6 years ago
• KrishnaswamyLab / graphtools
  Tools for building and manipulating graphs in Python
  ☆41Updated 2 years ago
• quadbio / latent-lego
  Latent spaces for single cells
  ☆21Updated last year
• Genentech / dcdfg
  ☆24Updated 2 years ago
• willtownes / glmpca-py
  generalized principal component analysis (GLM-PCA) implemented in python
  ☆59Updated 4 years ago
• eugenelin1 / DRA
  ☆16Updated 4 years ago
• welch-lab / MichiGAN
  Learning disentangled representations of single-cell data for high-quality generation
  ☆15Updated last year
• UofLBioinformatics / circDeep
  End-to-End learning framework for circular RNA classification from other long non-coding RNA using multimodal deep learning
  ☆23Updated 5 years ago
• rs239 / schema
  Framework for integrating heterogeneous modalities of data
  ☆17Updated 2 years ago
• SydneyBioX / SimBench
  ☆15Updated last year
• theislab / trVAE
  Conditional out-of-distribution prediction
  ☆57Updated 7 months ago
• davisidarta / fastlapmap
  Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with minimal memory usage. Outperforms sklearn's …
  ☆23Updated 3 years ago
• kasparmartens / NeuralDecomposition
  PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"
  ☆25Updated 4 years ago
• klarman-cell-observatory / Perturb-CITE-seq
  ☆15Updated 2 years ago
• tariqdaouda / FiberedAE
  Implementation of Fibered Auto-Encoders
  ☆9Updated 4 years ago
• omiq-ai / Multicore-opt-SNE
  Parallel opt-SNE implementation with Python wrapper
  ☆37Updated 2 years ago
• andrewcharlesjones / cplvm
  Contrastive Poisson latent variable models (CPLVMs)
  ☆11Updated 3 years ago
• KrishnaswamyLab / AAnet
  Archetypal Analysis network (AAnet)
  ☆31Updated last month