Alternatives and similar repositories for NTG:

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

• moellenh / flatgan
  PyTorch implementation of paper "Flat Metric Minimization with Applications in Generative Modeling"
  ☆19Updated 5 years ago
• matthewvowels1 / DisentanglingSequences
  Repo for the work on hierarchical state space models for disentanglement
  ☆21Updated 3 years ago
• minyoungg / overparam
  ☆41Updated last year
• djordjemila / sdn
  Official PyTorch implementation of Spatial Dependency Networks.
  ☆35Updated 3 years ago
• kampta / PatchGame
  PyTorch implementation of "PatchGame: Learning to Signal Mid-level Patches in Referential Games" to appear in NeurIPS 2021
  ☆23Updated 3 years ago
• yenchenlin / evf-public
  Experience-embedded Visual Foresight, CoRL 2019
  ☆14Updated 5 years ago
• chrischoy / gesvd
  Pytorch extension for Singular Value Decompostion (SVD) with LAPACK gesvd backend
  ☆27Updated 4 years ago
• arthurmensch / online_sinkhorn
  ☆13Updated 4 years ago
• stelzner / supair
  Implementation of Sum-Product Attend-Infer-Repeat
  ☆30Updated 4 years ago
• orybkin / sigma-vae
  Repository for the paper "Simple and Effective VAE Training with Calibrated Decoders"
  ☆29Updated 3 years ago
• pietz / simclr
  Unofficial PyTorch implementation of SimCLR by Chen et al.
  ☆17Updated 4 years ago
• Holmeswww / PPOGAN
  ☆24Updated 9 months ago
• hyenal / relate
  Official PyTorch implementation of 'RELATE: Physically Plausible Multi-Object SceneSynthesis Using Structured Latent Spaces'.
  ☆31Updated 4 years ago
• josh-tobin / egqn-datasets
  ☆13Updated 5 years ago
• NVlabs / High-res-disentanglement-datasets
  Datasets for new state-of-the-art challenge in disentanglement learning
  ☆45Updated 5 years ago
• unixpickle / vq-draw
  A discrete sequential VAE
  ☆39Updated 4 years ago
• seba-1511 / igt.pth
  Official PyTorch code release for Implicit Gradient Transport, NeurIPS'19
  ☆21Updated 5 years ago
• ssnl / poisson_quasimetric_embedding
  Open source code for paper "On the Learning and Learnability of Quasimetrics".
  ☆32Updated 2 years ago
• facebookresearch / semi-discrete-flow
  code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"
  ☆24Updated 2 years ago
• convnets-as-gps / convnets-as-gps
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆16Updated 5 years ago
• facebookresearch / neural-scs
  Neural Fixed-Point Acceleration for Convex Optimization
  ☆29Updated 2 years ago
• Zhiyuan1991 / proVLAE
  ☆27Updated 4 years ago
• AlexiaJM / GANsBeyondDivergenceMin
  Code for replication of the paper "GANs beyond divergence minimization"
  ☆21Updated 6 years ago
• ColinQiyangLi / AdaCat
  AdaCat
  ☆49Updated 2 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated 6 months ago
• Newbeeer / Anytime-Auto-Regressive-Model
  Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"
  ☆25Updated last year
• insperatum / vhe
  The Variational Homoencoder: Learning to learn high capacity generative models from few examples
  ☆34Updated last year
• jrbtaylor / conditional-pixelcnn
  A PyTorch implementation of Conditional PixelCNNs
  ☆27Updated 7 years ago
• ajayjain / lmconv
  Code for UAI 2020 paper "Locally Masked Convolution for Autoregressive Models"
  ☆77Updated 4 years ago
• jianwen-xie / Dynamic_generator
  Learning Dynamic Generator Model by Alternating Back-Propagation Through Time
  ☆11Updated 6 years ago