Instant neural graphics primitives: lightning fast NeRF and more

Library for multivariate function approximation with splines (B-spline, P-spline, and more) with interfaces to C++, C, Python and MATLAB

Fast radial basis function interpolation for large scale data

A collection of B-spline tools in Julia

CSE 571 Artificial Intelligence

Reinforcement learning algorithms

TorchQuantum is a backtesting framework that integrates the structure of PyTorch and WorldQuant's Operator for efficient quantitative financial analysis.

Adaptively sampled distance fields in Julia

Julia Wrapper to the Tasmanian library

Basis Function Expansions for Julia

Julia library for function approximation with compact basis functions

An adaptive fast function approximator based on tree search

The tools for proper interactions between ApproxFun.jl and DifferentialEquations.jl for pseudospectiral partial differential equation discretizations in scientific machine learning (SciML)

Easy21 assignment from David Silver's RL Course at UCL

Code repository with classical reinforcement learning and deep reinforcement learning methods for Pokémon battles in Pokémon Showdown.

Multivariate Normal Hermite-Birkhoff Interpolating Splines in Julia

Suite of 1D, 2D, 3D demo apps of varying complexity with built-in support for sample mesh and exact Jacobians

Python framework to approximate mathemtical functions

A library of reinforcement learning (RL) algorithms.