Numerical Methods with Python, Numpy and Matplotlib

Overview

Numerical Bric-a-Brac

Collections of numerical techniques with Python and standard computational packages (Numpy, SciPy, Numba, Matplotlib ...).

Differential Equations

Differential Equations describe many physical systems

Notebooks
implicit_solver
GitHub
Implementation of Baraff's "Large steps in cloth simulation."
spring_integrator
Analytic solution to damped spring
poisson_solver
Diffusion problem
laplace_inpainting
Laplace inpainting to restore an image

Optimizations

Those notebooks are the core algorithms for supervised and unsupervised learning in Machine learning.

Machine Learning Notebooks
Supervised Learning
linear_regression
Linear regression from scratch
polynomial_regression
Polynomial regression from scratch
logistic_regression
Logistic regression from scratch
multiclass_classifiation
Multiclass Classification with Scikit-learn
support_vector_machine
Support Vector Machine (SVM) with Scikit-learn
Unsupervised Learning
k_means
K-means clustering from scratch
Other Notebooks
multivariable_optimizations
Multivariable Optimizations (Gradient Descent and Newton's methods)

Linear Algebra

Standard linear algebra algorithms

Notebooks
inverse_kinematic
Inverse kinematics using least square methods to solve the ill-posed problem
radial_basis_kernels
Interpolation with Radial Basis Functions (RBFs)

Graph Theory

Part of discrete mathematics, graph theory is the study of graphs, a structures used to model pairwise relations between objects. Graph theory includes problems such as the travelling salesman problem and the spectral analysis of graph.

Notebooks
graph_matrix
List matrices describing a finite graph.
graph_coloring
Greedy algorithm for graph coloring.
dijkstra
Find the shortest paths between nodes in a graph.
spectral_graph_theory
Spectral Graph Thoery - PLACEHOLDER (WIP).

Neural Network

Artificial neural networks are composed of artificial neurons organized into layers. Neural networks are employed for regression analysis (function approximation) and classification problems.

Notebooks
ConvNets
face_keypoints
Facial keypoints detection
conv_net
Image classification on CIFAR-10 using CNN
res_net
Image classification on CIFAR-10 using ResNet
Generative Models
ae_fashion_mnist
Autoencoder on Fashion MNIST
variational_autoencoder
Variational autoencoder on MNIST

Stencil Codes

Stencil codes are at the heart of many numerical solvers and physical simulation codes. They are of particular interest in scientific computing research for solving partial differential equations, image processing, cellular automata, etc. The Finite Difference Method (FDM) is closely related to stencil codes.

Notebooks
poisson_solver
Diffusion problem
laplace_inpainting
Laplace inpainting to restore an image
convolution
Image processing with convolution kernels
conway
Cellular automata with Conway's game of life rules

Dimensionality Reduction

Dimensionality reduction is the process of converting data from a high-dimensional space to a low-dimensional space (subspace). A lower dimension representation aids in comprehending meaningful properties (such as latent variables), compressing the data, and removing noise from the original data.

Notebooks
pca_transform
Optimal transformation of a point cloud with PCA
svd_compression
Image compression with Singular Value Decomposition
autoencoder
Autoencoder on Fashion MNIST
eigenfaces
Eigenfaces for face recognition on Olivetti faces dataset

Miscellaneous

Random notebooks about dynamic programming and monte carlo methods

Notebooks
markov_chain
Example of ML pipeline with Snakemake
dynamic_programming
Dynamic programming Examples
monte_carlo_integration
Examples of Monte Carlo integrations
subspace_deformation
Skeletal Subspace Deformation
path_tracing
GitHub
Monte Carlo Path Tracing
markov_chain
Generate authors names from the Collection of Poems from Poetry Foundation
Owner
Vincent Bonnet
Vincent Bonnet
PyTorch implementation of popular datasets and models in remote sensing

PyTorch Remote Sensing (torchrs) (WIP) PyTorch implementation of popular datasets and models in remote sensing tasks (Change Detection, Image Super Re

isaac 222 Dec 28, 2022
Prototypical python implementation of the trust-region algorithm presented in Sequential Linearization Method for Bound-Constrained Mathematical Programs with Complementarity Constraints by Larson, Leyffer, Kirches, and Manns.

Prototypical python implementation of the trust-region algorithm presented in Sequential Linearization Method for Bound-Constrained Mathematical Programs with Complementarity Constraints by Larson, L

3 Dec 02, 2022
Flax is a neural network ecosystem for JAX that is designed for flexibility.

Flax: A neural network library and ecosystem for JAX designed for flexibility Overview | Quick install | What does Flax look like? | Documentation See

Google 3.9k Jan 02, 2023
Implementation of gMLP, an all-MLP replacement for Transformers, in Pytorch

Implementation of gMLP, an all-MLP replacement for Transformers, in Pytorch

Phil Wang 383 Jan 02, 2023
A tool to visualise the results of AlphaFold2 and inspect the quality of structural predictions

AlphaFold Analyser This program produces high quality visualisations of predicted structures produced by AlphaFold. These visualisations allow the use

Oliver Powell 3 Nov 13, 2022
OpenAi's gym environment wrapper to vectorize them with Ray

Ray Vector Environment Wrapper You would like to use Ray to vectorize your environment but you don't want to use RLLib ? You came to the right place !

Pierre TASSEL 15 Nov 10, 2022
NeurIPS 2021, self-supervised 6D pose on category level

SE(3)-eSCOPE video | paper | website Leveraging SE(3) Equivariance for Self-Supervised Category-Level Object Pose Estimation Xiaolong Li, Yijia Weng,

Xiaolong 63 Nov 22, 2022
Modifications of the official PyTorch implementation of StyleGAN3. Let's easily generate images and videos with StyleGAN2/2-ADA/3!

Alias-Free Generative Adversarial Networks (StyleGAN3) Official PyTorch implementation of the NeurIPS 2021 paper Alias-Free Generative Adversarial Net

Diego Porres 185 Dec 24, 2022
KwaiRec: A Fully-observed Dataset for Recommender Systems (Density: Almost 100%)

KuaiRec: A Fully-observed Dataset for Recommender Systems (Density: Almost 100%) KuaiRec is a real-world dataset collected from the recommendation log

Chongming GAO (高崇铭) 70 Dec 28, 2022
Aesara is a Python library that allows one to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.

Aesara is a Python library that allows one to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.

Aesara 898 Jan 07, 2023
PyTorch implementation of ARM-Net: Adaptive Relation Modeling Network for Structured Data.

A ready-to-use framework of latest models for structured (tabular) data learning with PyTorch. Applications include recommendation, CRT prediction, healthcare analytics, and etc.

48 Nov 30, 2022
ISTR: End-to-End Instance Segmentation with Transformers (https://arxiv.org/abs/2105.00637)

This is the project page for the paper: ISTR: End-to-End Instance Segmentation via Transformers, Jie Hu, Liujuan Cao, Yao Lu, ShengChuan Zhang, Yan Wa

Jie Hu 182 Dec 19, 2022
A Tensorfflow implementation of Attend, Infer, Repeat

Attend, Infer, Repeat: Fast Scene Understanding with Generative Models This is an unofficial Tensorflow implementation of Attend, Infear, Repeat (AIR)

Adam Kosiorek 82 May 27, 2022
MRQy is a quality assurance and checking tool for quantitative assessment of magnetic resonance imaging (MRI) data.

Front-end View Backend View Table of Contents Description Prerequisites Running Basic Information Measurements User Interface Feedback and usage Descr

Center for Computational Imaging and Personalized Diagnostics 58 Dec 02, 2022
BERTMap: A BERT-Based Ontology Alignment System

BERTMap: A BERT-based Ontology Alignment System Important Notices The relevant paper was accepted in AAAI-2022. Arxiv version is available at: https:/

KRR 36 Dec 24, 2022
Simple tool to combine(merge) onnx models. Simple Network Combine Tool for ONNX.

snc4onnx Simple tool to combine(merge) onnx models. Simple Network Combine Tool for ONNX. https://github.com/PINTO0309/simple-onnx-processing-tools 1.

Katsuya Hyodo 8 Oct 13, 2022
This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

SimMIM By Zhenda Xie*, Zheng Zhang*, Yue Cao*, Yutong Lin, Jianmin Bao, Zhuliang Yao, Qi Dai and Han Hu*. This repo is the official implementation of

Microsoft 674 Dec 26, 2022
Parameter-ensemble-differential-evolution - Shows how to do parameter ensembling using differential evolution.

Ensembling parameters with differential evolution This repository shows how to ensemble parameters of two trained neural networks using differential e

Sayak Paul 9 May 04, 2022
TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset

AlexNet training on ImageNet LSVRC 2012 This repository contains an implementation of AlexNet convolutional neural network and its training and testin

Matteo Dunnhofer 161 Nov 25, 2022
Project NII pytorch scripts

project-NII-pytorch-scripts By Xin Wang, National Institute of Informatics, since 2021 I am a new pytorch user. If you have any suggestions or questio

Yamagishi and Echizen Laboratories, National Institute of Informatics 184 Dec 23, 2022