☆21Apr 10, 2019Updated 7 years ago
Alternatives and similar repositories for deep-symmetry
Users that are interested in deep-symmetry are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆52Nov 15, 2020Updated 5 years ago
- Triplet Loss for Knowledge Distillation☆18Sep 4, 2022Updated 3 years ago
- Risk-sensitive Inverse Reinforcement Learning☆11Sep 11, 2019Updated 6 years ago
- Learning Longer-term Dependencies in RNNs with Auxiliary Losses - Implementation in PyTorch.☆17Aug 26, 2018Updated 7 years ago
- home of the bear's lair☆10May 19, 2017Updated 8 years ago
- 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.
- ☆16Mar 5, 2026Updated 2 months ago
- Automatic tool for converting a high-level description of an optimization problem, written in Python, into an equivalent QUBO.☆18Jan 17, 2024Updated 2 years ago
- A semidefinite programming solver for clustered low-rank SDPs☆15Updated this week
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10May 16, 2018Updated 7 years ago
- Official implementation of the algorithmic approach presented in the research paper entitled "Risk-Sensitive Policy with Distributional R…☆15Dec 19, 2022Updated 3 years ago
- "CBF-LLM: Safe Control for LLM Alignment"☆12Dec 10, 2024Updated last year
- Parser to read tsplib problems data into a python dict☆14Feb 2, 2022Updated 4 years ago
- ☆12Mar 18, 2024Updated 2 years ago
- Solving the CVRPTW with geatpy2☆11Mar 24, 2020Updated 6 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Robust Reinforcement Learning Benchmark☆12Sep 22, 2024Updated last year
- ☆11Feb 29, 2024Updated 2 years ago
- Computationally tractable learning-based nonlinear tube MPC using difference of convex neural network dynamic approximation☆10Jul 5, 2024Updated last year
- PyPi Package of Self-Organizing Recurrent Neural Networks (SORN) and Neuro-robotics using OpenAI Gym☆39Sep 4, 2024Updated last year
- Software for solving polynomial-quadratic regulator problems☆10Jan 7, 2025Updated last year
- a repository containing everything relevant to our fast non-negative deconvolution work☆35Nov 28, 2016Updated 9 years ago
- Julia package for representing linear, time-invariant system models and operations defined on them.☆10Oct 18, 2019Updated 6 years ago
- Machine Learning Utils of Sinzlab☆29Oct 3, 2025Updated 7 months ago
- Scalable Monotonic Neural Networks☆12Mar 14, 2024Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Algorithms for Policy Evaluation, Estimation of Action Values, Policy Improvement, Policy Iteration, Truncated Policy Evaluation, Truncat…☆11Apr 3, 2019Updated 7 years ago
- ☆10Mar 24, 2022Updated 4 years ago
- An efficient solver for nonlinear constrained feedback Stackelberg games☆12Feb 25, 2025Updated last year
- ☆10Aug 13, 2022Updated 3 years ago
- Code needed to reproduce the examples in "Data-driven System Level Synthesis" by Anton Xue and Nikolai Matni.☆10Feb 8, 2022Updated 4 years ago
- Control barrier functions (CBFs) in Julia.☆15Sep 19, 2024Updated last year
- Code for Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles [AISTATS'23]☆13Jul 28, 2023Updated 2 years ago
- Stochastic Optimal Control in Robotics Project☆21May 14, 2019Updated 6 years ago
- "Iterative Convex Optimization for Model Predictive Control with Discrete-Time High-Order Control Barrier Functions" by S. Liu, J. Zeng, …☆12Mar 11, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Python library that implements ZPC: Zonotopic Data-Driven Predictive Control.☆12Sep 7, 2022Updated 3 years ago
- Code for the Adversarial Image Detectors and a Saliency Map☆12Mar 23, 2017Updated 9 years ago
- Contains an implementation of "Imitation Learning via Kernel Mean Embedding (2018, AAAI)"☆11Oct 2, 2018Updated 7 years ago
- spikebench is an open spike train time-series classification benchmark☆13Oct 3, 2022Updated 3 years ago
- Solving a constrained robust optimal control problem with uncertain neural network dynanmics through convex optimization.☆11Jan 14, 2024Updated 2 years ago
- ☆10Nov 29, 2023Updated 2 years ago
- Tube-Based Zonotopic Data Driven Predictive Control☆12Nov 23, 2022Updated 3 years ago