#计算机科学#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 and kriging for large scale data
A collection of B-spline tools in Julia
CSE 571 Artificial Intelligence
#计算机科学#TorchQuantum is a backtesting framework that integrates the structure of PyTorch and WorldQuant's Operator for efficient quantitative financial analysis.
#算法刷题#Reinforcement learning algorithms
Adaptively sampled distance fields in Julia
Basis Function Expansions for Julia
Julia library for function approximation with compact basis functions
An adaptive fast function approximator based on tree search
Code repository with classical reinforcement learning and deep reinforcement learning methods for Pokémon battles in Pokémon Showdown.
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
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
A library of reinforcement learning (RL) algorithms.
Python framework to approximate mathemtical functions