GitHub topics: function-approximation
NVlabs/instant-ngp
Instant neural graphics primitives: lightning fast NeRF and more
Language: Cuda - Size: 183 MB - Last synced at: 6 days ago - Pushed at: 4 months ago - Stars: 16,625 - Forks: 1,977

bmarroc/reinforcement-learning
Jupyter notebooks implementing Reinforcement Learning algorithms in Numpy and Tensorflow
Language: Jupyter Notebook - Size: 2.84 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 1 - Forks: 1

YNU-NakataLab/X-KAN
X-KAN: Optimizing Local Kolmogorov-Arnold Networks via Evolutionary Rule-Based Machine Learning
Language: Python - Size: 3.31 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

shuvoxcd01/GridMind
A library of reinforcement learning (RL) algorithms.
Language: Python - Size: 286 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 7 - Forks: 1

nymath/torchqtm
TorchQuantum is a backtesting framework that integrates the structure of PyTorch and WorldQuant's Operator for efficient quantitative financial analysis.
Language: Cython - Size: 29.2 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 42 - Forks: 13

bgrimstad/splinter
Library for multivariate function approximation with splines (B-spline, P-spline, and more) with interfaces to C++, C, Python and MATLAB
Language: C++ - Size: 5.3 MB - Last synced at: 13 days ago - Pushed at: over 2 years ago - Stars: 431 - Forks: 116

jipolanco/BSplineKit.jl
A collection of B-spline tools in Julia
Language: Julia - Size: 7.84 MB - Last synced at: 15 days ago - Pushed at: 2 months ago - Stars: 59 - Forks: 9

Maximo-Rulli/Ecodesafio
Using ML to predict ramaining time of rechargable batteries
Language: Jupyter Notebook - Size: 17.9 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

rdeits/AdaptiveDistanceFields.jl
Adaptively sampled distance fields in Julia
Language: Jupyter Notebook - Size: 233 KB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 33 - Forks: 11

Pressio/pressio-demoapps
Suite of 1D, 2D, 3D demo apps of varying complexity with built-in support for sample mesh and exact Jacobians
Language: C++ - Size: 69.7 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 9 - Forks: 2

timbmg/easy21-rl
Easy21 assignment from David Silver's RL Course at UCL
Language: Python - Size: 1.57 MB - Last synced at: 2 months ago - Pushed at: about 7 years ago - Stars: 12 - Forks: 4

ali-Eskandarian/Semester_1_Fuzzy_Logic
Projects of Fuzzy course
Language: Python - Size: 0 Bytes - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

flatironinstitute/baobzi
An adaptive fast function approximator based on tree search
Language: C++ - Size: 304 KB - Last synced at: 21 days ago - Pushed at: about 1 year ago - Stars: 16 - Forks: 4

baggepinnen/BasisFunctionExpansions.jl
Basis Function Expansions for Julia
Language: Julia - Size: 7.25 MB - Last synced at: 24 days ago - Pushed at: about 2 years ago - Stars: 25 - Forks: 7

Gyakobo/multi-threading
This project was made to showcase a sample example of muli-threading in the C programming language.
Language: C - Size: 145 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0

polatory/polatory
Fast radial basis function interpolation and kriging for large scale data
Language: C++ - Size: 2.98 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 162 - Forks: 19

Elktrn/tensorflow-2.0-simple-linear-regression-whitout-keras
Simple linear regressor that tries to approximate a simple function deployed in Tensorflow 2.0 without Keras
Language: Jupyter Notebook - Size: 172 KB - Last synced at: 1 day ago - Pushed at: 4 months ago - Stars: 5 - Forks: 0

pablovegan/QubitApproximant
Approximate a function in a single qubit using data-reuploading.
Language: Python - Size: 1.64 MB - Last synced at: 8 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

say-yas/DeepLearning_functionApproxation
This package explores various deep learning methods in approximating functions in \mathbb{R} and \mathbb{R}^{2}
Language: Jupyter Notebook - Size: 23 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 1

bestmahdi2/Uni__GeneticProgrammingFunctionApproximation
In this university project, genetic programming is used to approximate the function
Language: Python - Size: 1.21 MB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

leolellisr/poke_RL
Code repository with classical reinforcement learning and deep reinforcement learning methods for Pokémon battles in Pokémon Showdown.
Language: Jupyter Notebook - Size: 39.5 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 10 - Forks: 2

alexkalergis/Artificial-Neural-Network-approximates-unknown-function
• Artificial Intelligence • In this project we aim to train an artificial neural network to approximate a function of a discrete dynamical system.
Language: MATLAB - Size: 299 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

floswald/Tasmanian.jl
Julia Wrapper to the Tasmanian library
Language: Julia - Size: 9.6 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 31 - Forks: 8

YasinRezvani/Fourier_Series_Animation
This project is a simple animation of Fourier series, approximating a function using a sum of sine and cosine functions.
Language: Python - Size: 281 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

saeid436/Function_Approximation-MLP
Function approximation using Multilayer Perceptron (MLP)
Language: MATLAB - Size: 1000 Bytes - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

saeid436/Multimodal-Gaussian-Distribution-Approximation
Approximation of mixing different gaussian distribution with Self-organizing Map(SoM) and Radial Basis Function(RBF)
Language: MATLAB - Size: 1.95 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

wpodlaski/funcapprox-with-lowrank-EI-spikes
Approximating nonlinear functions with low-rank spiking networks
Language: Jupyter Notebook - Size: 414 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

HarryZhangHH/DPRL
Course given at the MSc CS @VU
Language: Jupyter Notebook - Size: 3.37 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

ArbiKodraj/ML-Approximation
Final Project for the Modules: Effective Programming Practices taught by Hans-Martin Gaudecker and Scientific Computing taught by Philipp Eisenhauer.
Language: Jupyter Notebook - Size: 27.8 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

Breakend/CMACvTileCode
Language: Python - Size: 22.2 MB - Last synced at: about 1 year ago - Pushed at: about 8 years ago - Stars: 7 - Forks: 0

vasisthasinghal/Learning-Equations-of-a-Dynamical-System
The focus of function approximation problems has been on identifying some suitable function without attempting to gain insight into the mechanism of the system. The performance of the model boils down to interpolation. But, in a more realistic setting, we expect test data from outside the distribution of the training set. To better extrapolate to unseen domains, it is essential to learn the correct underlying equations of the system. The Equation Learner (EQL) Network attempts to achieve this task.
Language: Jupyter Notebook - Size: 7.58 MB - Last synced at: 7 months ago - Pushed at: almost 4 years ago - Stars: 5 - Forks: 0

ToniCardosooo/Numerical-Methods-Lab-Classes
Repository containing python notebooks used to teach the lab classes of the curricular unit "Numerical Methods (M2039)" at FCUP, Portugal, in study year 2023/2024
Language: Jupyter Notebook - Size: 419 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

AI4LIFE-GROUP/lfa
Local function approximation (LFA) framework, NeurIPS 2022
Language: Python - Size: 37.1 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 2

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.
Language: Jupyter Notebook - Size: 532 KB - Last synced at: 2 months ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

PhuongLe/deep-q-learning-robot
An implementation of Reinforcement Learning using the Q-Learning algorithm and Function Approximation with Backpropagation Neural Network.
Language: Java - Size: 6.86 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0

IgorKohan/NormalHermiteSplines.jl
Multivariate Normal Hermite-Birkhoff Interpolating Splines in Julia
Language: Julia - Size: 6.2 MB - Last synced at: about 2 months ago - Pushed at: about 4 years ago - Stars: 10 - Forks: 2

tomasspangelo/On-Policy-Monte-Carlo-Tree-Search-for-Game-Playing
Language: Python - Size: 23.4 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

thomberg1/UniversalFunctionApproximation
Universal Function Approximation by Neural Nets
Language: Jupyter Notebook - Size: 3.39 MB - Last synced at: 6 months ago - Pushed at: almost 7 years ago - Stars: 4 - Forks: 6

akiss-xyz/certainpy
A short and sweet library handling uncertainty in calculations. Can use both standard, probabilistic uncertainties and maximal uncertainties for arbitrary functions over arbitrary variables.
Language: Python - Size: 146 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

IvanovskyOrtega/Neural-Networks
Many different Neural Networks in Python Language. This repository is an independent work, it is related to my 'Redes Neuronales' repo, but here I'll use only Python.
Language: Python - Size: 133 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 1

kkhetarpal/COMP767
Assignments and Reading Material for RL Course
Language: Jupyter Notebook - Size: 446 KB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 2 - Forks: 0

Sagarnandeshwar/On_Policy_And_Off_Policy_Reinforcement_Learning
Reinforcement Learning (COMP 579) Project
Language: Jupyter Notebook - Size: 3.2 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

iamjagdeesh/Artificial-Intelligence-Pac-Man
CSE 571 Artificial Intelligence
Language: Python - Size: 2.29 MB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 45 - Forks: 54

shiivashaakeri/Neural-Network-Gradient-Descent-From-Scratch
This project is a simple implementation of a neural network with gradient descent optimization from scratch. The goal of this project is to demonstrate how a neural network works and how the gradient descent algorithm can be used to optimize its parameters.
Language: Jupyter Notebook - Size: 297 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

JuliaApproximation/CompactBases.jl
Julia library for function approximation with compact basis functions
Language: Julia - Size: 10.6 MB - Last synced at: 29 days ago - Pushed at: over 1 year ago - Stars: 16 - Forks: 2

johannmeyer/Distributed-and-Asynchronous-Algorithm-for-Smooth-High-dimensional-Function-Approximation
Distributed and Asynchronous Algorithm for Smooth High-dimensional Function Approximation using Orthotope B-splines
Size: 5.06 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

lucasvianav/SME0300-NumericalAnalysis 📦
This repository contains numerical methods for finding solutions of a nonlinear equation as well as to approximate functions from a dataset of (x, y) points.
Language: Python - Size: 1.63 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

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)
Language: Julia - Size: 30.3 KB - Last synced at: 4 days ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 8

GeorgianBadita/Genetic-Programming-Function-Approximation
Python framework to approximate mathemtical functions
Language: Jupyter Notebook - Size: 43 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 4 - Forks: 1

Arminkhayati/Machine_learning_lec
My Machine Learning course projects
Language: Jupyter Notebook - Size: 13.6 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

rldotai/rl-algorithms
Reinforcement learning algorithms
Language: Python - Size: 29.3 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 39 - Forks: 6

danieljordan2/Estimation-of-a-non-linear-function
Estimation of a non-linear function using neural networks
Language: Python - Size: 27.3 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

AVrachimis/Q-Learning-NN-covid-simulator
Double Q-Learning Agent with Function Approximation using Neural Networks
Language: Jupyter Notebook - Size: 987 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

AdamRajfer/mlp-from-scratch
MLP network for approximating functions: implementation and experiments
Language: HTML - Size: 57.6 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

harmanpreet93/reinforcement-learning
Reinforcement Learning algorithms
Language: Jupyter Notebook - Size: 4.06 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 4 - Forks: 0

gaurav71531/deltaSMF
delta-submodular work codes
Language: MATLAB - Size: 1000 Bytes - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

leguiart/Neural
Neural Network from scratch (Multilayer Perceptron) with modular implementation
Language: C++ - Size: 80.1 KB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 1

sichkar-valentyn/Machine_Learning_in_Python
Practical experiments on Machine Learning in Python. Processing of sentences and finding relevant ones, approximation of function with polynomials, function optimization
Language: Python - Size: 138 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 3

Souritra-Garai/Neural-Networks
A generic implementation of multi layer perceptron neural networks, including some visual tools. Contains example of using the neural network classes for function approximation.
Language: Python - Size: 18.6 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1

rezazzr/kernel_based_reinforcement_learning
Language: Jupyter Notebook - Size: 104 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 1

LMesaric/Seminar-FER-2019
Seminar project at FER led by Assistant Professor Marko Čupić
Language: TeX - Size: 2.06 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 0

Subangkar/Numerical-Methods-CSE-218-BUET
Programming assignments of Numerical Methods Sessional Course CSE 218 in Level-2, Term-1 of CSE, BUET
Language: MATLAB - Size: 6.38 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 2

PantelisKyriakidis/Numerical-Analysis-Class
2 Projects. Bisection, Newton-Raphson, intersection methods , approaching sin function and it's integral and more...
Language: Matlab - Size: 1.65 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 1

hurshprasad/RL-easy21
Language: Python - Size: 79.1 KB - Last synced at: over 2 years ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 0

MADHAVAN001/neural-network-solutions-matlab
Function Approximation and Classification implementations using Neural Network Toolbox in MATLAB. Function Approximation was done on California Housing data-set and Classification was done on SPAM email classification data-set.
Language: Matlab - Size: 171 MB - Last synced at: over 2 years ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 0
