The tiniest of Gaussian Process libraries
MIT License
TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones
[ECCV 2024 Oral] LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.
Experimental Gradient Boosting Machines in Python with numba.
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs....
Scalable 1D Gaussian Processes in C++, Python, and Julia
Gaussian Processes for Experimental Sciences
Rapid large-scale fractional differencing with NVIDIA RAPIDS and GPU to minimize memory loss whil...
Conjugate Gradient Lower Bound
Frechet Inception Distance in JAX
Fast Convergence of Conjugate Gradients in Sparse Gaussian Processes
Multilevel Delayed Acceptance MCMC sampler with finite-length subchains, modern transition kernel...
A Tiny, Pure Python implementation of Gradient Boosted Trees.
Fast and flexible Gaussian Process regression in Python