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Reinforcement learning in differentiable multiphysics simulation in Warp.
FlashMLA: Efficient MLA decoding kernels
A Python implementation of the Herbert game from the Imagine Cup algorithm contest.
Pre-built components and code samples to help you build and deploy production-grade AI applications with the OpenVINO™ Toolkit from Intel
Moshi is a speech-text foundation model and full-duplex spoken dialogue framework. It uses Mimi, a state-of-the-art streaming neural audio codec.
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
Neural Optimal Transport with Lagrangian Costs
Official implementation of our paper "Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models"
Training efficient drone controllers with Analytic Policy Gradient
Minimalistic and fast JAX implementation of the e-prop learning rule for spiking recurrent neural networks.
a minimal dependency free way of generating ninja build files for lean4 packages
Minimal, clean, single-file implementations of common robotics controllers in MuJoCo.
Communication framework for RTL simulation and emulation.
A Python package for probabilistic state space modeling with JAX
Repository for our ICLR 2023 paper: DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems
Accurate denoising of voltage imaging data through statistically unbiased prediction, Nature Methods.
Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.
Helper toolkit for creating your own Lean 4 UserWidgets