javiergonzalezh / dppLinks
Python package to sample from determinantal point processes
☆18Updated 10 years ago
Alternatives and similar repositories for dpp
Users that are interested in dpp are comparing it to the libraries listed below
Sorting:
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- Generative models and other stuff too, maybe, perhaps even probably☆16Updated 9 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Updated 7 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 7 years ago
- ☆29Updated 8 years ago
- RNNprop☆36Updated 8 years ago
- Code for a generative controller for the AI Gym cartpole task☆15Updated 8 years ago
- numpy implementation of net 2 net from the paper Net2Net: Accelerating Learning via Knowledge Transfer http://arxiv.org/abs/1511.05641☆53Updated 9 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 7 years ago
- ☆15Updated 9 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago
- Reference implementation for Structured Prediction with Deep Value Networks☆55Updated 8 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 7 years ago
- Tensor Switching Networks☆12Updated 7 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated 2 years ago
- Implements an infinite sum of poisson-weighted convolutions☆27Updated 7 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Implementation of the approach described in "Understanding deep features with computer-generated imagery" , M. Aubry and B. Russell, ICCV…☆21Updated 2 years ago
- The Statistical Recurrent Unit in Pytorch☆33Updated 8 years ago
- Some of my experiments targeting adversarial instances☆12Updated 8 years ago
- Official implementation for the paper: "Shallow Updates for Deep Reinforcement Learning"☆18Updated 7 years ago
- Professor Forcing, NIPS'16☆45Updated 8 years ago
- Unsupervised Learning by Predicting Noise☆90Updated 3 years ago
- Code of "Max-margin Deep Generative Models" (NIPS15)☆18Updated 10 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆121Updated 7 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 9 years ago
- ☆13Updated 7 years ago
- Generalized Compressed Network Search with PyTorch☆26Updated 7 years ago
- Experiments from "The Description Length of Deep Learning Models"☆10Updated 7 years ago