facebookresearch / theseus
A library for differentiable nonlinear optimization
☆1,721Updated this week
Related projects: ⓘ
- Differentiable convex optimization layers☆1,785Updated last month
- A library for differentiable robotics.☆1,253Updated last week
- A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related web…☆1,226Updated 2 weeks ago
- ☆673Updated 11 months ago
- A curated list of resources on implicit neural representations.☆2,443Updated 7 months ago
- Massively parallel rigidbody physics simulation on accelerator hardware.☆2,220Updated 2 months ago
- Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains☆1,234Updated last year
- TorchOpt is an efficient library for differentiable optimization built upon PyTorch.☆528Updated this week
- Tensors, for human consumption☆1,096Updated 2 weeks ago
- functorch is JAX-like composable function transforms for PyTorch.☆1,389Updated this week
- Constrained optimization toolkit for PyTorch☆649Updated 2 years ago
- KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows☆1,038Updated 2 months ago
- Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.☆1,383Updated last month
- FFCV: Fast Forward Computer Vision (and other ML workloads!)☆2,831Updated 3 months ago
- JAX - A curated list of resources https://github.com/google/jax☆1,471Updated 2 months ago
- A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation …☆2,279Updated 2 months ago
- Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors☆2,433Updated 6 months ago
- A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.☆2,208Updated this week
- ☆742Updated 5 months ago
- A modular high-level library to train embodied AI agents across a variety of tasks and environments.☆1,908Updated this week
- Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/☆1,114Updated 2 weeks ago
- Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.☆999Updated 3 weeks ago
- gradslam is an open source differentiable dense SLAM library for PyTorch☆1,311Updated last year
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆918Updated this week
- Optax is a gradient processing and optimization library for JAX.☆1,640Updated this week
- Real-time Neural Signed Distance Fields for Robot Perception☆417Updated last year
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,362Updated 4 months ago
- JAX-based neural network library☆2,860Updated last week
- Official implementation of "Implicit Neural Representations with Periodic Activation Functions"☆1,737Updated last month
- Fast symbolic computation, code generation, and nonlinear optimization for robotics☆1,407Updated 4 months ago