Official implementation of Diffusion Autoencoders
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Updated
Sep 12, 2024 - Jupyter Notebook
Official implementation of Diffusion Autoencoders
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
Nimfa: Nonnegative matrix factorization in Python
GIF is a photorealistic generative face model with explicit 3D geometric and photometric control.
DGMs for NLP. A roadmap.
Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"
Code for "Controllable Unsupervised Text Attribute Transfer via Editing Entangled Latent Representation" (NeurIPS 2019)
Pytorch Implementation of our ACL 2020 Paper "Reasoning with Latent Structure Refinement for Document-Level Relation Extraction"
Implementation of NeurIPS 19 paper: Paraphrase Generation with Latent Bag of Words
A Java Toolbox for Scalable Probabilistic Machine Learning
NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
Official implementation of the paper Stochastic Latent Residual Video Prediction
Bayesian Methods for Machine Learning
[Paperlist] Awesome paper list of controllable text generation via latent auto-encoders. Contributions of any kind are welcome.
Generative Query Network for rendering 3D scenes from 2D images
Official implementation of our ECCV paper "StretchBEV: Stretching Future Instance Prediction Spatially and Temporally"
Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
SLAMP: Stochastic Latent Appearance and Motion Prediction
Neural State-Space Models and Latent Dynamics Functions in PyTorch for High-Dimensional Forecasting
Code and released pre-trained model for our ACL 2022 paper: "DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation"
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