Topic: function-approximation Goto Github
Some thing interesting about function-approximation
Some thing interesting about function-approximation
function-approximation,MLP network for approximating functions: implementation and experiments
User: adamrajfer
Home Page: https://adamrajfer.github.io/mlp-from-scratch/
function-approximation,Local function approximation (LFA) framework, NeurIPS 2022
Organization: ai4life-group
Home Page: https://arxiv.org/abs/2206.01254
function-approximation,A short and sweet library handling uncertainty in calculations. Can use both standard, probabilistic uncertainties and maximal uncertainties for arbitrary functions over arbitrary variables.
User: akiss-xyz
function-approximation,This project involves approximating a function to solve an optimization problem. Functions can often be costly to write in code. Approximating a function can sometimes save time and money. Especially when the code is iterated many times.
User: alexanderlago
function-approximation,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.
User: amifunny
function-approximation,My Machine Learning course projects
User: arminkhayati
function-approximation,Basis Function Expansions for Julia
User: baggepinnen
function-approximation,Library for multivariate function approximation with splines (B-spline, P-spline, and more) with interfaces to C++, C, Python and MATLAB
User: bgrimstad
function-approximation,Jupyter notebooks implementing Reinforcement Learning algorithms in Numpy and Tensorflow
User: bmarroc
function-approximation,
User: breakend
function-approximation,An adaptive fast function approximator based on tree search
Organization: flatironinstitute
function-approximation,Julia Wrapper to the Tasmanian library
User: floswald
function-approximation,Python framework to approximate mathemtical functions
User: georgianbadita
function-approximation,Reinforcement Learning algorithms
User: harmanpreet93
function-approximation,Course given at the MSc CS @VU
User: harryzhanghh
function-approximation,CSE 571 Artificial Intelligence
User: iamjagdeesh
function-approximation,Multivariate Normal Hermite-Birkhoff Interpolating Splines in Julia
User: igorkohan
function-approximation,An implementation of multilayer perceptron(MLP) on function approximation.
User: isthatyoung
function-approximation,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.
User: ivanovskyortega
function-approximation,A collection of B-spline tools in Julia
User: jipolanco
Home Page: https://jipolanco.github.io/BSplineKit.jl/dev/
function-approximation,Distributed and Asynchronous Algorithm for Smooth High-dimensional Function Approximation using Orthotope B-splines
User: johannmeyer
function-approximation,Julia library for function approximation with compact basis functions
Organization: juliaapproximation
function-approximation,Assignments and Reading Material for RL Course
User: kkhetarpal
function-approximation,Neural Network from scratch (Multilayer Perceptron) with modular implementation
User: leguiart
function-approximation,Code repository with classical reinforcement learning and deep reinforcement learning methods for Pokémon battles in Pokémon Showdown.
User: leolellisr
Home Page: https://github.com/leolellisr/poke_RL
function-approximation,Seminar project at FER led by Assistant Professor Marko Čupić
User: lmesaric
function-approximation,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.
User: lucasvianav
function-approximation,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.
User: madhavan001
function-approximation,Dash App for visualizing function approximations by polynomials.
User: mdp0r
function-approximation,Simple linear regressor that tries to approximate a simple function deployed in Tensorflow 2.0 without Keras
User: mohammadasadolahi
Home Page: https://github.com/mohammadAsadolahi/tensorflow-2.0-simple-linear-regression-without-keras
function-approximation,Instant neural graphics primitives: lightning fast NeRF and more
Organization: nvlabs
Home Page: https://nvlabs.github.io/instant-ngp
function-approximation,TorchQuantum is a backtesting framework that integrates the structure of PyTorch and WorldQuant's Operator for efficient quantitative financial analysis.
User: nymath
Home Page: https://nymath.github.io/torchqtm/navigate/
function-approximation,2 Projects. Bisection, Newton-Raphson, intersection methods , approaching sin function and it's integral and more...
User: panteliskyriakidis
function-approximation,An implementation of Reinforcement Learning using the Q-Learning algorithm and Function Approximation with Backpropagation Neural Network.
User: phuongle
Home Page: https://phuongle.github.io/2021/01/reinforcement-learning-to-build-a-robot-tank.html
function-approximation,Fast radial basis function interpolation for large scale data
Organization: polatory
function-approximation,Suite of 1D, 2D, 3D demo apps of varying complexity with built-in support for sample mesh and exact Jacobians
Organization: pressio
function-approximation,Adaptively sampled distance fields in Julia
User: rdeits
function-approximation,
User: rezazzr
function-approximation,Reinforcement learning algorithms
User: rldotai
function-approximation,Function approximation using Multilayer Perceptron (MLP)
User: saeid436
function-approximation,Approximation of mixing different gaussian distribution with Self-organizing Map(SoM) and Radial Basis Function(RBF)
User: saeid436
function-approximation,Reinforcement Learning (COMP 579) Project
User: sagarnandeshwar
function-approximation,Course work of Reinforcement-Learning-CS6700
User: saivinay007
function-approximation,The tools for proper interactions between ApproxFun.jl and DifferentialEquations.jl for pseudospectiral partial differential equation discretizations in scientific machine learning (SciML)
Organization: sciml
Home Page: https://benchmarks.sciml.ai/
function-approximation,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.
User: shiivashaakeri
function-approximation,Practical experiments on Machine Learning in Python. Processing of sentences and finding relevant ones, approximation of function with polynomials, function optimization
User: sichkar-valentyn
function-approximation,A generic implementation of multi layer perceptron neural networks, including some visual tools. Contains example of using the neural network classes for function approximation.
User: souritra-garai
function-approximation,Universal Function Approximation by Neural Nets
User: thomberg1
function-approximation,Easy21 assignment from David Silver's RL Course at UCL
User: timbmg
function-approximation,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.
User: vasisthasinghal
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