RiteshKhan's Stars
Developer-Y/cs-video-courses
List of Computer Science courses with video lectures.
jeffgerickson/algorithms
Bug-tracking for Jeff's algorithms book, notes, etc.
cp-algorithms/cp-algorithms
Algorithm and data structure articles for https://cp-algorithms.com (based on http://e-maxx.ru)
cnr-isti-vclab/meshlab
The open source mesh processing system
zotroneneis/machine_learning_basics
Plain python implementations of basic machine learning algorithms
maziarraissi/Applied-Deep-Learning
Applied Deep Learning Course
amanchadha/coursera-deep-learning-specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
weijie-chen/Linear-Algebra-With-Python
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
dennybritz/nn-from-scratch
Implementing a Neural Network from Scratch
bitzhangcy/Neural-PDE-Solver
ipython-books/cookbook-2nd-code
Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
jdtoscano94/Learning-Scientific_Machine_Learning_Residual_Based_Attention_PINNs_DeepONets
Physics Informed Machine Learning Tutorials (Pytorch and Jax)
aurimas13/Machine-Learning-Goodness
The Machine Learning project including ML/DL projects, notebooks, cheat codes of ML/DL, useful information on AI/AGI and codes or snippets/scripts/tasks with tips.
lyc102/ifem
iFEM is a MATLAB software package containing robust, efficient, and easy-following codes for the main building blocks of adaptive finite element methods on unstructured simplicial grids in both two and three dimensions.
janblechschmidt/PDEsByNNs
This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means of neural networks using TensorFlow.
ShotaDeguchi/PINN_TF2
Implementation of PINNs in TensorFlow 2
NBoulle/greenlearning
Learning Green's functions of partial differential equations with deep learning.
gchavez2/awesome_hierarchical_matrices
Software libraries that implement hierarchical matrices
H2Lib/H2Lib
H2Lib public repository
tjdiamandis/RandomizedPreconditioners.jl
LCSL/FALKON_paper
FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"
mp4096/rsvd
Randomized singular value decomposition (SVD) written in C++14 / Eigen
PacktPublishing/R-Statistics-Cookbook
R Statistics Cookbook, published by Packt
cpraveen/spectral_matlab
Spectral methods in matlab
ywfan/mnn-H2
code for multiscale neural network based on FMM/H2-matrices
fastsolvers/HSS
HSS package -- hierarchically semiseparable matrices
SAFRAN-LAB/Hmatrix_2D
Hmatrix 2D
xinxing02/H2Pack-Matlab
Matlab prototype code for H2Pack
SMehrkanoon/LSSVM-PDE-Solver
vaishna77/AFMM3D