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Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
Created
2021-10-02
373 commits to main branch, last one 8 months ago
Awesome resources on normalizing flows.
Created
2019-12-11
111 commits to main branch, last one 2 months ago
Normalizing flows in PyTorch
Created
2020-02-17
161 commits to master branch, last one 3 months ago
Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
Created
2018-12-30
8 commits to master branch, last one 5 years ago
An extension of XGBoost to probabilistic modelling
Created
2019-06-16
978 commits to master branch, last one about a year ago
DGMs for NLP. A roadmap.
mcmc
parsing
decoding
language-model
generative-text
text-generation
generative-model
graphical-models
generative-models
normalizing-flows
discrete-structures
gradient-estimation
approximate-inference
structured-prediction
variational-inference
latent-variable-models
markov-chain-monte-carlo
variational-autoencoders
natural-language-processing
generative-adversarial-networks
Created
2019-04-09
191 commits to master branch, last one 2 years ago
Normalizing flows in PyTorch
Created
2022-10-11
127 commits to master branch, last one about a month ago
PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech
Created
2021-10-06
16 commits to main branch, last one 3 years ago
An extension of LightGBM to probabilistic modelling
Created
2020-07-03
194 commits to master branch, last one about a year ago
Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
Created
2020-06-10
250 commits to master branch, last one 4 years ago
Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
Created
2019-03-05
36 commits to master branch, last one about a year ago
Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"
Created
2021-07-27
20 commits to master branch, last one 2 years ago
Normalizing-flow enhanced sampling package for probabilistic inference in Jax
Created
2021-11-30
1,115 commits to main branch, last one a day ago
Network-to-Network Translation with Conditional Invertible Neural Networks
Created
2020-10-21
46 commits to master branch, last one 3 years ago
Pytorch implementation of Block Neural Autoregressive Flow
Created
2019-04-02
26 commits to master branch, last one 3 years ago
A Julia framework for invertible neural networks
Created
2020-02-07
530 commits to master branch, last one 5 months ago
This repository has no description...
Created
2022-02-17
971 commits to main branch, last one about a month ago
Implementation of normalizing flows in TensorFlow 2 including a small tutorial.
Created
2020-01-30
31 commits to master branch, last one 7 months ago
Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
Created
2021-10-18
2 commits to main branch, last one 3 years ago
Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs, etc
Created
2023-03-05
43 commits to main branch, last one about a year ago
Likelihood-free AMortized Posterior Estimation with PyTorch
Created
2021-12-20
121 commits to master branch, last one 7 months ago
A PyTorch implementation of "WaveFlow: A Compact Flow-based Model for Raw Audio" (ICML 2020)
Created
2019-10-07
25 commits to master branch, last one about a year ago
Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for modelling monotonic transformations in normalizing flows.
Created
2019-05-13
47 commits to master branch, last one 3 months ago
Discrete Normalizing Flows implemented in PyTorch
Created
2020-01-31
22 commits to master branch, last one 3 years ago
pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation
Created
2022-02-02
318 commits to main branch, last one 6 months ago
Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)
Created
2019-09-26
14 commits to master branch, last one 4 years ago
[CVPR 2023] Code repository for HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation
Created
2023-04-02
38 commits to main branch, last one 4 months ago
The official repository of BFSR: "Boosting Flow-based Generative Super-Resolution Models via Learned Prior" [CVPR 2024]
Created
2024-02-22
14 commits to main branch, last one 9 months ago
Open source implementation to the paper "IKFlow: Generating Diverse Inverse Kinematics Solutions"
Created
2022-03-29
142 commits to master branch, last one 3 months ago
A Python Library for Deep Probabilistic Modeling
Created
2021-09-27
118 commits to main branch, last one 5 months ago