latent-variable-models
There are 136 repositories under latent-variable-models topic.
konpatp/diffae
Official implementation of Diffusion Autoencoders
timbmg/VAE-CVAE-MNIST
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
mims-harvard/nimfa
Nimfa: Nonnegative matrix factorization in Python
ParthaEth/GIF
GIF is a photorealistic generative face model with explicit 3D geometric and photometric control.
FranxYao/Deep-Generative-Models-for-Natural-Language-Processing
DGMs for NLP. A roadmap.
kpandey008/DiffuseVAE
Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"
nanguoshun/LSR
Pytorch Implementation of our ACL 2020 Paper "Reasoning with Latent Structure Refinement for Document-Level Relation Extraction"
Nrgeup/controllable-text-attribute-transfer
Code for "Controllable Unsupervised Text Attribute Transfer via Editing Entangled Latent Representation" (NeurIPS 2019)
amidst/toolbox
A Java Toolbox for Scalable Probabilistic Machine Learning
FranxYao/dgm_latent_bow
Implementation of NeurIPS 19 paper: Paraphrase Generation with Latent Bag of Words
ryoungj/BoLT
Code for "Reasoning to Learn from Latent Thoughts"
ChunyuanLI/ALICE
NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
edouardelasalles/srvp
Official implementation of the paper Stochastic Latent Residual Video Prediction
soroosh-rz/Bayesian-Methods-for-Machine-Learning
Bayesian Methods for Machine Learning
qu-gg/torch-neural-ssm
Neural State-Space Models and Latent Dynamics Functions in PyTorch for High-Dimensional Forecasting
ImKeTT/CTG-latentAEs
[Paperlist] Awesome paper list of controllable text generation via latent auto-encoders. Contributions of any kind are welcome.
shivamsaboo17/Neural-Scene-Representation-and-Rendering
Generative Query Network for rendering 3D scenes from 2D images
kaanakan/stretchbev
Official implementation of our ECCV paper "StretchBEV: Stretching Future Instance Prediction Spatially and Temporally"
insdout/Time-Series-Hybrid-Autoencoder
Remaining Useful Life estimation and sensor data generation by VAE and diffusion model on C-MAPSS dataset.
GFNOrg/GFlowNet-EM
Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
fabian-sp/GGLasso
A Python package for General Graphical Lasso computation
kaanakan/slamp
SLAMP: Stochastic Latent Appearance and Motion Prediction
lemuria-wchen/DialogVED
Code and released pre-trained model for our ACL 2022 paper: "DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation"
gabrevaya/LatentDiffEq.jl
Latent Differential Equations models in Julia.
visinf/cos-cvae
Diverse Image Captioning with Context-Object Split Latent Spaces (NeurIPS 2020)
selbouhaddani/OmicsPLS
R package for High dimensional data analysis and integration with O2PLS!
PreferredAI/bi-vae
Code for the paper "Bilateral Variational Autoencoder for Collaborative Filtering", WSDM'21
kkholst/lava
Latent Variable Models in R https://kkholst.github.io/lava/
visinf/lnfmm
Latent Normalizing Flows for Many-to-Many Cross Domain Mappings (ICLR 2020)
LCBC-UiO/galamm
An R package for estimating generalized additive mixed models with latent variables
m-clark/sem
:white_medium_small_square: <- :white_circle: Structural Equation Modeling from a broader context.
arsena-k/discourse_atoms
How are topics encoded in semantic space? Repository to accompany PNAS article: https://www.pnas.org/doi/10.1073/pnas.2108801119
jxhe/cross-lingual-struct-flow
PyTorch implementation of ACL paper https://arxiv.org/abs/1906.02656
Cartus/Latent-Forests
Learning Latent Forests for Medical Relation Extraction (authors' PyTorch implementation for the IJCAI20 paper)
PLBMR/mentalHealthDataAnalysis
Data Analysis on Mental Health.
ratishsp/data2text-seq-plan-py
Code for TACL 2022 paper on Data-to-text Generation with Variational Sequential Planning