Input Convex Neural Networks
☆314Mar 20, 2019Updated 7 years ago
Alternatives and similar repositories for icnn
Users that are interested in icnn are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach☆84Mar 28, 2019Updated 7 years ago
- OptNet: Differentiable Optimization as a Layer in Neural Networks☆580Mar 26, 2020Updated 6 years ago
- Structured Prediction Energy Networks in Torch☆132Feb 8, 2017Updated 9 years ago
- Task-based end-to-end model learning in stochastic optimization☆220Nov 29, 2020Updated 5 years ago
- Reading Group on Reinforcement Learning topics☆56Nov 13, 2016Updated 9 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆15Sep 5, 2016Updated 9 years ago
- Learning the optimal transport map via input convex neural neworks☆44Jun 26, 2020Updated 5 years ago
- TensorFlow implementation [ICLR 18] "Learning Approximate Inference Networks for Structured Prediction"☆30Jun 10, 2018Updated 7 years ago
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆34Dec 2, 2019Updated 6 years ago
- A working implementation of the Categorical DQN (Distributional RL).☆95Apr 7, 2018Updated 8 years ago
- A fast and differentiable QP solver for PyTorch.☆789Sep 3, 2024Updated last year
- Asynchronous Advantage Actor Critic☆20Aug 15, 2016Updated 9 years ago
- Noisy Networks for Exploration☆187Jan 28, 2018Updated 8 years ago
- An intelligent block matrix library for numpy, PyTorch, and beyond.☆307Aug 4, 2024Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A minimal example of optimal transport with Input Convex Neural Networks in Pytorch☆24Dec 22, 2021Updated 4 years ago
- "Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow☆192Jul 20, 2018Updated 7 years ago
- Multi-Residual Networks☆23Nov 25, 2016Updated 9 years ago
- Segmentation with deep learning☆36Dec 29, 2016Updated 9 years ago
- Guided Policy Search☆601Feb 9, 2021Updated 5 years ago
- A differentiable LCP physics engine in PyTorch.☆314Jan 8, 2021Updated 5 years ago
- Benchmarking physics-constrained data-driven models of hyperelasticity against rubber and soft tissue datasets☆16Jan 15, 2023Updated 3 years ago
- Code and models from the paper "Layer Normalization"☆243Nov 8, 2016Updated 9 years ago
- A fast and differentiable model predictive control (MPC) solver for PyTorch.☆1,055Aug 27, 2024Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)☆123Dec 10, 2017Updated 8 years ago
- Weight initialization schemes for PyTorch nn.Modules☆70Mar 2, 2017Updated 9 years ago
- ☆326Feb 8, 2023Updated 3 years ago
- Differentiable MPC in Chainer, developed as part of PFN summer internship 2019.☆15Aug 23, 2022Updated 3 years ago
- DNI(Decoupled Neural Interfaces using Synthetic Gradients) implementation with Torch☆30Aug 30, 2016Updated 9 years ago
- A library to benchmark reinforcement learning algorithms☆21Apr 18, 2018Updated 8 years ago
- Speed up PixelCNN++ image generation by up to a 183 times☆479May 23, 2017Updated 8 years ago
- ☆33May 17, 2016Updated 9 years ago
- Differentiable convex optimization layers☆2,090Apr 21, 2026Updated last week
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,059Jun 10, 2023Updated 2 years ago
- Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT☆208Jan 26, 2016Updated 10 years ago
- PyTorch implementation of the Value Iteration Networks (VIN) (NIPS '16 best paper)☆80Mar 13, 2017Updated 9 years ago
- supercell☆192Oct 9, 2017Updated 8 years ago
- Generating faces with deconvolution networks☆890Jun 8, 2021Updated 4 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆437Nov 28, 2023Updated 2 years ago
- A list of deep neural network architectures for reinforcement learning tasks.☆174Aug 9, 2016Updated 9 years ago