ananyahjha93 / challenges-in-disentanglingLinks
This repository contains a pytorch implementation for the paper: Challenges in Disentangling Independent Factors of Variation (https://arxiv.org/abs/1711.02245), which was accepted at ICLR 2018's workshop track.
☆8Updated 6 years ago
Alternatives and similar repositories for challenges-in-disentangling
Users that are interested in challenges-in-disentangling are comparing it to the libraries listed below
Sorting:
- This repository contains a pytorch implementation for the paper: Disentangling factors of variation in deep representations using adversa…☆32Updated 6 years ago
- My homework solutions for UC Berkeley CS294: deep unsupervised learning☆14Updated 2 years ago
- Code Released for NeurIPS 2018 paper: Synthesized Policies for Transfer and Adaptation across Tasks and Environments☆16Updated 6 years ago
- Implementation of Hierarchical Long-term Video Prediction without Supervision☆89Updated 3 years ago
- Code of the paper `Disentangling factors of variation in deep representations using adversarial training` by Mathieu, Zaho, Ramesh, Sprec…☆21Updated 8 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated 2 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- This repository contains the code for the paper: Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders (htt…☆72Updated 6 years ago
- TensorFlow-based implementation of "Attend, Infer, Repeat" paper (Eslami et al., 2016, arXiv:1603.08575).☆42Updated 7 years ago
- Starter Kit for the NeurIPS 2019 Disentanglement Challenge☆33Updated 2 years ago
- Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]☆66Updated last year
- f-GANs in an Information Geometric Nutshell☆13Updated 8 years ago
- Code for "Probabilistic Neural Programmed Networks for Scene Generation.", Deng et al, NIPS 2018☆40Updated 11 months ago
- Disentangled Variational AutoEncoder with PyTorch☆29Updated 6 years ago
- Scripts to generate the CoDraw and i-CLEVR datasets used for the GeNeVA task proposed in our ICCV 2019 paper "Tell, Draw, and Repeat: Gen…☆39Updated 2 years ago
- Models and Codes for the paper Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions☆14Updated 6 years ago
- ☆61Updated 6 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago
- ☆15Updated 7 years ago
- Generates a zip archive that is uploadable to arXiv.☆45Updated 5 years ago
- Precise Recovery of Latent Vectors from Generative Adversarial Networks in PyTorch☆32Updated 8 years ago
- Lifelong Variational Autoencoder☆14Updated 7 years ago
- An unofficial PyTorch implementation of the HAN and AdaHAN models presented in the "Learning Visual Question Answering by Bootstrapping H…☆54Updated 6 years ago
- Pytorch implementation of SCAN: Learning Abstract Hierarchical Compositional Visual Concepts☆21Updated 7 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 7 years ago
- Tensorflow implementation of Discriminator Rejection Sampling☆24Updated 5 years ago
- ☆48Updated 7 years ago
- Beta-VAE implementations in both PyTorch and Tensorflow☆22Updated 6 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Updated 7 years ago
- Non-Adversarial Unsupervised Domain Mapping☆39Updated 6 years ago