xqding / TD-VAEView external linksLinks
Temporal Difference Variational Auto-Encoder (TD-VAE) (Implementation in PyTorch)
☆166Feb 20, 2023Updated 2 years ago
Alternatives and similar repositories for TD-VAE
Users that are interested in TD-VAE are comparing it to the libraries listed below
Sorting:
- TD-VAE in PyTorch☆10May 28, 2019Updated 6 years ago
- Run Pytorch graphs inside Theano graph (and pytorch wrapper for AIS for generative models).☆18Oct 19, 2017Updated 8 years ago
- Website for TextVQA dataset.☆28Apr 30, 2023Updated 2 years ago
- Forecasting library in python☆13Sep 6, 2019Updated 6 years ago
- Pytorch implementation of Hyperspherical Variational Auto-Encoders☆385Mar 21, 2020Updated 5 years ago
- Code for SegTree Transformer (ICLR-RLGM 2019).☆27Nov 12, 2019Updated 6 years ago
- Implementation of Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space☆60Apr 5, 2018Updated 7 years ago
- Reproducing results of Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World https://arxiv.org/abs…☆27Dec 27, 2022Updated 3 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆67Nov 4, 2018Updated 7 years ago
- An attempt at a PyTorch Implementation of "Zero-Shot" Super-Resolution using Deep Internal Learning by Shocher et al. CVPR 2018☆14Aug 30, 2018Updated 7 years ago
- Code for "Possibility Before Utility: Learning And Using Hierarchical Affordances" (ICLR 2022)☆14Mar 14, 2022Updated 3 years ago
- Code for the PIDForest algorithm for anomaly detection☆27Feb 18, 2020Updated 5 years ago
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆469Apr 2, 2019Updated 6 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Aug 7, 2018Updated 7 years ago
- Codebase for project about unsupervised skill learning via variational inference and causality.☆43Oct 1, 2023Updated 2 years ago
- PyQt5 app for viewing SMAL meshes☆30Nov 2, 2024Updated last year
- Code Released for NeurIPS 2018 paper: Synthesized Policies for Transfer and Adaptation across Tasks and Environments☆16Apr 17, 2019Updated 6 years ago
- Charades Object Detection Dataset (ICCV 2017)☆31May 30, 2018Updated 7 years ago
- Linear-chain LSTM-CRFs and Convolutional CRFs in PyTorch.☆22Aug 11, 2017Updated 8 years ago
- Measuring compositionality in representation learning☆73May 5, 2019Updated 6 years ago
- PyTorch implementations of algorithms for density estimation☆585May 13, 2021Updated 4 years ago
- A PyTorch implementation of Conditional PixelCNNs☆27Jan 24, 2018Updated 8 years ago
- Pytorch implementation of the Variational Recurrent Neural Network (VRNN).☆291Dec 13, 2021Updated 4 years ago
- ☆18Feb 9, 2020Updated 6 years ago
- MetaC provides a read-eval-print loop (a REPL) and notebook interactive development environment (a NIDE) for C programming. MetaC also …☆12Updated this week
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆34Feb 1, 2020Updated 6 years ago
- D-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019☆145Sep 23, 2020Updated 5 years ago
- Pytorch implementation of β-VAE☆568Dec 29, 2020Updated 5 years ago
- Neural relational inference for interacting systems - pytorch☆767Nov 19, 2019Updated 6 years ago
- Learning Robust Dynamics Through Variational Sparse Gating☆20Oct 19, 2022Updated 3 years ago
- ☆25Jan 2, 2019Updated 7 years ago
- Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…☆105Jan 24, 2019Updated 7 years ago
- Motion Prediction Work (AAAI2019)☆24Apr 26, 2023Updated 2 years ago
- Implementation for the CVPR2019 paper "Graphical Contrastive Losses for Scene Graph Parsing"☆12Nov 11, 2019Updated 6 years ago
- Visaul Question Generation as Dual Task of Visual Question Answering (PyTorch Version)☆82Jun 15, 2018Updated 7 years ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆665Sep 22, 2020Updated 5 years ago
- ☆19Nov 25, 2022Updated 3 years ago
- Regularization Matters in Policy Optimization☆21Nov 1, 2021Updated 4 years ago
- Distributed A3C☆34Dec 22, 2017Updated 8 years ago