mrkulk / MIT-PictureLinks
A probabilistic programming language for visual scene perception
☆26Updated 9 years ago
Alternatives and similar repositories for MIT-Picture
Users that are interested in MIT-Picture are comparing it to the libraries listed below
Sorting:
- ☆14Updated 8 years ago
- This repo shows a vanilla hopfield net that will denoise a given pattern☆40Updated 7 years ago
- RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Base…☆38Updated 7 years ago
- Unsupervised Perceptual Rewards for Imitation Learning☆11Updated 7 years ago
- Experiments from the article "Tensorial Mixture Models"☆25Updated 7 years ago
- Scripts to generate a dataset with static frames from the Arcade Learning Environment☆19Updated 11 years ago
- Neural Scene De-rendering☆64Updated 7 years ago
- Generalized Compressed Network Search with PyTorch☆26Updated 7 years ago
- Fun with variational autoencoders.☆11Updated 7 years ago
- sketch-rnn demo for seoul mediacity biennale 2018☆13Updated 6 years ago
- Models generated by CycleGAN☆43Updated 7 years ago
- (Deprecated) See https://github.com/mrkulk/Unsupervised-Capsule-Network☆14Updated 10 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- ☆51Updated 2 years ago
- ☆45Updated 5 years ago
- Code for a generative controller for the AI Gym cartpole task☆15Updated 8 years ago
- A PyTorch library for differentiable submodular minimization.☆58Updated 7 years ago
- Generating 3D CAD models with manifolds trained by Gaussian Process Latent Variable Models☆21Updated 8 years ago
- Implements an infinite sum of poisson-weighted convolutions☆27Updated 6 years ago
- Binary Stochastic Neurons in PyTorch☆57Updated 7 years ago
- Implementation of Sum-Product Attend-Infer-Repeat☆31Updated 5 years ago
- An interface between Torch and Matlab☆30Updated 10 years ago
- ☆38Updated 7 years ago
- ☆104Updated 3 years ago
- Generative Latent Attentive Sampler☆26Updated 8 years ago
- An implementation of quaternions for and written in tensorflow. Fully differentiable.☆54Updated 3 years ago
- ☆26Updated 6 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- Code for "Probabilistic Neural Programmed Networks for Scene Generation.", Deng et al, NIPS 2018☆40Updated last year
- imperative programming in TensorFlow☆18Updated 8 years ago