locuslab / icnnLinks
Input Convex Neural Networks
☆297Updated 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☆548Updated 5 years ago
- ☆69Updated 7 years ago
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆64Updated 9 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆408Updated last year
- Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.☆141Updated 9 years ago
- Pytorch implementation of Value Iteration Networks (NIPS 2016 best paper)☆319Updated 4 years ago
- Task-based end-to-end model learning in stochastic optimization☆211Updated 4 years ago
- Differentiable Optimization-Based Modeling for Machine Learning☆340Updated 5 years ago
- Guided Evolutionary Strategies☆272Updated 2 years ago
- Code for "A-NICE-MC: Adversarial Training for MCMC"☆125Updated 7 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆153Updated 7 years ago
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆106Updated 7 years ago
- A colab that implements the Symplectic Gradient Adjustment optimizer from "The mechanics of n-player differentiable games"☆153Updated 6 years ago
- Tensorflow Implementation of Interaction Networks for Learning about Objects, Relations and Physics☆158Updated 8 years ago
- What My Deep Model Doesn't Know...☆116Updated 9 years ago
- ☆65Updated last year
- A fast and differentiable QP solver for PyTorch.☆750Updated last year
- Train an RL agent to play multiple Atari games at once☆69Updated 9 years ago
- Deep Gaussian Processes in matlab☆93Updated 4 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- A working implementation of the Categorical DQN (Distributional RL).☆96Updated 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…☆39Updated 7 years ago
- PyTorch implementation of Value Iteration Networks (VIN): Clean, Simple and Modular. Visualization in Visdom.☆226Updated 8 years ago
- NIPS 2017 Value Prediction Network☆166Updated 7 years ago
- for learning reinforcement learning using PyTorch.☆64Updated 5 years ago
- ☆159Updated 8 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 8 years ago
- A differentiable LCP physics engine in PyTorch.☆305Updated 4 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 9 years ago
- Code for the paper "Learning to Act by Predicting the Future", Alexey Dosovitskiy and Vladlen Koltun, ICLR 2017☆151Updated last year