☆242Sep 3, 2023Updated 2 years ago
Alternatives and similar repositories for trajax
Users that are interested in trajax are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Transforms your CasADi functions into batchable JAX-compatible functions. By combining the power of CasADi with the flexibility of JAX, J…☆185Feb 23, 2025Updated last year
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,056Jun 4, 2026Updated 2 months ago
- A fast trajectory optimization library written in Julia☆395Mar 27, 2025Updated last year
- Myriad is a real-world testbed that aims to bridge trajectory optimization and deep learning.☆68Sep 12, 2023Updated 2 years ago
- Sampling-based model predictive control on GPU with JAX/MJX☆298Jul 18, 2026Updated 3 weeks ago
- 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.
- Sparse nonlinear least squares in JAX☆292Jun 22, 2026Updated last month
- Source code for the examples accompanying the paper "Learning convex optimization control policies."☆84Nov 14, 2022Updated 3 years ago
- Performant, differentiable reinforcement learning☆126Aug 2, 2025Updated last year
- Differentiable QP solver in JAX☆165Jul 24, 2026Updated 2 weeks ago
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆43Jun 14, 2021Updated 5 years ago
- A differentiable physics engine and multibody dynamics library for control and robot learning.☆202Aug 1, 2026Updated last week
- A Julia package for constrained iterative LQR (iLQR)☆44Mar 17, 2023Updated 3 years ago
- A differentiable physics engine for robotics☆393Sep 23, 2024Updated last year
- Implicit Differentiable Optimal Control (IDOC) with JAX☆12May 11, 2022Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Massively parallel rigidbody physics simulation on accelerator hardware.☆3,214Updated this week
- Model Predictive Control in JAX☆268Jul 22, 2026Updated 2 weeks ago
- ☆649Jul 30, 2026Updated last week
- Conic Augmented Lagrangian Interior-Point SOlver☆81Dec 14, 2022Updated 3 years ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆243Dec 22, 2023Updated 2 years ago
- Implements https://arxiv.org/pdf/2403.00748☆22Jan 26, 2026Updated 6 months ago
- RL Environments in JAX 🌍☆912Apr 2, 2026Updated 4 months ago
- Stanford PhD Thesis☆18Jan 11, 2023Updated 3 years ago
- A Python reference implementation of rigid body dynamics algorithms☆18Jul 17, 2023Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A Julia package for constrained trajectory optimization using direct methods.☆29Jun 12, 2022Updated 4 years ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆58Mar 6, 2026Updated 5 months ago
- Rigid transform using Lie groups and Dual Quaternions, written in CasADi!☆90Jul 15, 2025Updated last year
- PyTinyRenderer is a simple C++/CPU renderer, this fork adds Python bindings and triangle clipping and OpenGL compatible view/projection m…☆27Oct 1, 2024Updated last year
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆611May 13, 2026Updated 2 months ago
- nonlinear control optimization tool☆115Mar 22, 2025Updated last year
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆60Jul 12, 2026Updated 3 weeks ago
- Differentiable collision detection between capsules and padded polygons☆16Oct 20, 2022Updated 3 years ago
- Differentiable Model Predictive Control on the GPU☆172Oct 24, 2025Updated 9 months 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.
- PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL☆906Apr 29, 2026Updated 3 months ago
- Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!☆274Jun 10, 2026Updated last month
- A toolbox for trajectory optimization of dynamical systems☆57Jun 16, 2022Updated 4 years ago
- Optax is a gradient processing and optimization library for JAX.☆2,313Updated this week
- A Python package for probabilistic state space modeling with JAX☆991Aug 1, 2026Updated last week
- Differentiable convex optimization layers☆2,123May 19, 2026Updated 2 months ago
- Differentiable trajectory optimization in Julia.☆67Jun 29, 2026Updated last month