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function-approximation

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instant-ngp

NVlabs /instant-ngp

Instant neural graphics primitives: lightning fast NeRF and more

machine-learning real-time computer-vision neural-network computer-graphics realtime cuda signed-distance-functions nerf 3d-reconstruction function-approximation real-time-rendering

UpdatedDec 14, 2025
Cuda

bgrimstad /splinter

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

python c-plus-plus interpolation smoothing splines function-approximation b-splines p-spline

UpdatedFeb 15, 2023
C++

polatory /polatory

Fast radial basis function interpolation and kriging for large scale data

python cpp astronomy interpolation regression approximation geophysics astrophysics surface-reconstruction smoothing splines spline kernel-methods geology geostatistics kriging function-approximation surface-modeling radial-basis-function rbf

UpdatedNov 15, 2025
C++

jipolanco /BSplineKit.jl

A collection of B-spline tools in Julia

interpolation julia splines galerkin function-approximation collocation b-splines basis-recombination

UpdatedNov 24, 2025
Julia

iamjagdeesh /Artificial-Intelligence-Pac-Man

CSE 571 Artificial Intelligence

reinforcement-learning deep-reinforcement-learning q-learning artificial-intelligence neural-networks epsilon-greedy breadth-first-search alpha-beta-pruning depth-first-search minimax-algorithm policy-iteration value-iteration function-approximation expectimax particle-filter-tracking uniform-cost-search greedy-search a-star-search

UpdatedJan 3, 2018
Python

nymath /torchqtm

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

deep-learning quantitative-finance function-approximation alpha-model

UpdatedJul 13, 2023
Cython

rldotai /rl-algorithms

Reinforcement learning algorithms

algorithm reinforcement-learning reinforcement-learning-algorithms function-approximation rl-algorithms linear-function-approximation

UpdatedFeb 27, 2019
Python

rdeits /AdaptiveDistanceFields.jl

Adaptively sampled distance fields in Julia

geometry julia signed-distance-field function-approximation

UpdatedApr 19, 2023
Jupyter Notebook

floswald /Tasmanian.jl

Julia Wrapper to the Tasmanian library

julia-package tasmanian function-approximation julialang

UpdatedJul 28, 2025
Julia

BasisFunctionExpansions.jl

baggepinnen /BasisFunctionExpansions.jl

Basis Function Expansions for Julia

linear-regression approximation julia-package function-approximation time-series-analysis function-expansion

UpdatedApr 6, 2023
Julia

graphic-goose /ferreus_rbf_rs

Fast global radial basis function (RBF) interpolation

python rust interpolation approximation surface-reconstruction splines isosurface spline kernel-methods geology function-approximation radial-basis-function fast-multipole-method fmm rbf thin-plate-spline polyharmonic-spline surface-modelling spheroidal bbfmm

UpdatedNov 18, 2025
Rust

JuliaApproximation /CompactBases.jl

Julia library for function approximation with compact basis functions

finite-differences function-approximation b-splines fe-dvr fedvr quasi-arrays

UpdatedMar 9, 2024
Julia

flatironinstitute /baobzi

An adaptive fast function approximator based on tree search

python c cmake cpp fortran julia matlab eigen approximation msgpack scientific-computing high-performance-computing function-approximation

UpdatedOct 2, 2025
C++

leolellisr /poke_RL

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

game pokemon reinforcement-learning qlearning monte-carlo deep-reinforcement-learning dqn pokemon-showdown reinforce function-approximation double-dqn sarsa-lambda deep-rl ppo ppo2

UpdatedNov 29, 2024
Jupyter Notebook

SciML /DiffEqApproxFun.jl

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

fourier function-approximation chebyshev pseudospectral scientific-machine-learning partial-differential-equation sciml

UpdatedNov 30, 2020
Julia

timbmg /easy21-rl

Easy21 assignment from David Silver's RL Course at UCL

reinforcement-learning monte-carlo sarsa rl function-approximation reinforcement-learning-excercises sarsa-lambda

UpdatedApr 29, 2018
Python

NormalHermiteSplines.jl

IgorKohan /NormalHermiteSplines.jl

Multivariate Normal Hermite-Birkhoff Interpolating Splines in Julia

interpolation approximation multivariate splines rkhs function-approximation rbf normal-splines matern-kernel hermite-splines hermite-birkhoff

UpdatedApr 20, 2021
Julia

Pressio /pressio-demoapps

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

python3 cpp17 reaction-diffusion finite-volume numerical-methods hydrodynamics euler-equations weno-schemes eigen-library function-approximation advection compressible-flows pybind11 riemann-problem shock-capturing jacobian-matrix sample-mesh hyper-reduction snl-applications snl-mini-apps

UpdatedSep 9, 2025
C++

shuvoxcd01 /GridMind

A library of reinforcement learning (RL) algorithms.

reinforcement-learning function-approximation monte-carlo-methods temporal-differencing-learning n-step evolutionary-reinforcement-learning

UpdatedDec 14, 2025
Python

Breakend /CMACvTileCode

reinforcement-learning tensorflow mlp function-approximation tile-coding cmac

UpdatedMar 31, 2017
Python

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