locuslab / icnnLinks
Input Convex Neural Networks
☆294Updated 6 years ago
Alternatives and similar repositories for icnn
Users that are interested in icnn are comparing it to the libraries listed below
Sorting:
- OptNet: Differentiable Optimization as a Layer in Neural Networks☆542Updated 5 years ago
- Task-based end-to-end model learning in stochastic optimization☆208Updated 4 years ago
- Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.☆140Updated 9 years ago
- ☆69Updated 7 years ago
- Pytorch implementation of Value Iteration Networks (NIPS 2016 best paper)☆319Updated 4 years ago
- Differentiable Optimization-Based Modeling for Machine Learning☆338Updated 5 years ago
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆65Updated 9 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆404Updated last year
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 8 years ago
- ☆65Updated last year
- A fast and differentiable QP solver for PyTorch.☆737Updated 10 months ago
- What My Deep Model Doesn't Know...☆116Updated 9 years ago
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆106Updated 7 years ago
- A differentiable LCP physics engine in PyTorch.☆302Updated 4 years ago
- An intelligent block matrix library for numpy, PyTorch, and beyond.☆309Updated 11 months ago
- Dropout As A Bayesian Approximation: Code☆202Updated 10 years ago
- ☆159Updated 7 years ago
- Code for "A-NICE-MC: Adversarial Training for MCMC"☆125Updated 6 years ago
- Code for the paper "Learning to Act by Predicting the Future", Alexey Dosovitskiy and Vladlen Koltun, ICLR 2017☆150Updated 10 months ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- PyTorch implementation of Value Iteration Networks (VIN): Clean, Simple and Modular. Visualization in Visdom.☆227Updated 8 years ago
- Tensorflow Implementation of Interaction Networks for Learning about Objects, Relations and Physics☆158Updated 8 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆152Updated 7 years ago
- Guided Evolutionary Strategies☆271Updated 2 years ago
- Evolution Strategies in PyTorch☆354Updated 7 years ago
- A working implementation of the Categorical DQN (Distributional RL).☆96Updated 7 years ago
- NIPS 2017 Value Prediction Network☆166Updated 7 years ago
- Convolutional Gaussian processes based on GPflow.☆95Updated 7 years ago
- ☆101Updated 8 years ago
- Optimizing control variates for black-box gradient estimation☆163Updated 5 years ago