Projects in Awesome Lists tagged with function-approximation
A curated list of projects in awesome lists tagged with function-approximation .
https://github.com/nvlabs/instant-ngp
Instant neural graphics primitives: lightning fast NeRF and more
3d-reconstruction computer-graphics computer-vision cuda function-approximation machine-learning nerf neural-network real-time real-time-rendering realtime signed-distance-functions
Last synced: 12 May 2025
https://nvlabs.github.io/instant-ngp/
Instant neural graphics primitives: lightning fast NeRF and more
3d-reconstruction computer-graphics computer-vision cuda function-approximation machine-learning nerf neural-network real-time real-time-rendering realtime signed-distance-functions
Last synced: 20 Mar 2025
https://github.com/NVlabs/instant-ngp
Instant neural graphics primitives: lightning fast NeRF and more
3d-reconstruction computer-graphics computer-vision cuda function-approximation machine-learning nerf neural-network real-time real-time-rendering realtime signed-distance-functions
Last synced: 24 Mar 2025
https://github.com/bgrimstad/splinter
Library for multivariate function approximation with splines (B-spline, P-spline, and more) with interfaces to C++, C, Python and MATLAB
b-splines c-plus-plus function-approximation interpolation p-spline python smoothing splines
Last synced: 15 Mar 2025
https://github.com/jipolanco/bsplinekit.jl
A collection of B-spline tools in Julia
b-splines basis-recombination collocation function-approximation galerkin interpolation julia splines
Last synced: 05 Apr 2025
https://github.com/jipolanco/BSplineKit.jl
A collection of B-spline tools in Julia
b-splines basis-recombination collocation function-approximation galerkin interpolation julia splines
Last synced: 04 May 2025
https://github.com/rdeits/adaptivedistancefields.jl
Adaptively sampled distance fields in Julia
function-approximation geometry julia signed-distance-field
Last synced: 08 Oct 2025
https://github.com/floswald/tasmanian.jl
Julia Wrapper to the Tasmanian library
function-approximation julia-package julialang tasmanian
Last synced: 16 Oct 2025
https://github.com/nymath/torchqtm
TorchQuantum is a backtesting framework that integrates the structure of PyTorch and WorldQuant's Operator for efficient quantitative financial analysis.
alpha-model deep-learning function-approximation quantitative-finance
Last synced: 01 Apr 2025
https://github.com/baggepinnen/basisfunctionexpansions.jl
Basis Function Expansions for Julia
approximation function-approximation function-expansion julia-package linear-regression time-series-analysis
Last synced: 02 Jan 2026
https://github.com/flatironinstitute/baobzi
An adaptive fast function approximator based on tree search
approximation c cmake cpp eigen fortran function-approximation high-performance-computing julia matlab msgpack python scientific-computing
Last synced: 22 Jul 2025
https://github.com/juliaapproximation/compactbases.jl
Julia library for function approximation with compact basis functions
b-splines fe-dvr fedvr finite-differences function-approximation quasi-arrays
Last synced: 05 Mar 2025
https://github.com/timbmg/easy21-rl
Easy21 assignment from David Silver's RL Course at UCL
function-approximation monte-carlo reinforcement-learning reinforcement-learning-excercises rl sarsa sarsa-lambda
Last synced: 08 Oct 2025
https://github.com/gyakobo/multi-threading
This project was made to showcase a sample example of muli-threading in the C programming language.
c function-approximation integrals integration multithreading number-pi parallel-computing
Last synced: 23 Sep 2025
https://github.com/bestmahdi2/uni__geneticprogrammingfunctionapproximation
In this university project, genetic programming is used to approximate the function
function-approximation genetic-algorithm genetic-programming matplotlib numpy python tqdm
Last synced: 08 Mar 2025
https://github.com/amifunny/rl-notebooks
This is a repository for Coursera Reinforcement Learning Course Notebook ,, these consist of my solutions. Feel Free to take a look , if you are stuck in Course and suggest corrections, if you find any mistake. Also Useful if you are looking for an implementation of RL-Algorithms. ** NOTE THESE NOTEBOOKS DON'T WORK AS THEY DO NOT CONTAIN UTILITY FILES WHICH ARE AVAILABLE ONLY ON COURSERA.
assignment-solutions coursera-reinforcement-learning function-approximation reinforcement-learning rl-algorithms sample-based-learning
Last synced: 10 Oct 2025
