316 Open source projects that are alternatives of or similar to mathematics-for-machine-learning-coursera

Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.

Julia package for Schur decomposition of matrices with generic element types

Implicitly Restarted Arnoldi Method, natively in Julia

A demonstration of the PageRank algorithm, using Eigenvectors to assign significance to HTML pages

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2022 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

symmetric matrices algorithms to compute eigenvalue/eigenvector pairs

quizzes/assignments for mathematics for machine learning specialization on coursera

SLICOT - A Fortran subroutines library for systems and control

Julia Operators LIbrary

Fast Best-Subset Selection Library

Symbolic computation using SymPy and various applications

Here is All Weeks Assignment for Using Python to Access Web Data Course on Coursera

Principal component analysis (PCA) in Ruby

A repository to showcase my completed courses on the Coursera platform.

NLP Specialization (Natural Language Processing) made by deeplearning.ai

Vectorized Machine Learning in Python 🐍 From Scratch

Linear algebra for embedded system with MATLAB style

Purely-functional, coordinate-free linear algebra

No description or website provided.

General purpose math library for robot applications.

Scala Native BLAS (Basic Linear Algebra Subprograms) supporting Linux and macOS

Coursera clone

Single precision (float) matrices for R.

No description or website provided.

Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng

Information Retrieval in High Dimensional Data (class deliverables)

Reconstruction and Compression of Color Images Using Principal Component Analysis (PCA) Algorithm

Linear Algebra library for Pony Language

Easy-to-use Scientific Computing library in/for C++ available for Linux and Windows.

A open source book covering the foundational maths of deep learning and machine learning using TensorFlow

My solution to Data Structures and Algorithms Specialization (Algorithmic Toolbox; Data Structures; Algorithms on Graphs; Algorithms on Strings; Advanced Algorithms and Complexity; Genome Assembly Programming Challenge)

🕸️ Graphs, finite fields and discrete dynamical systems in Kotlin

Vectors and sparse matrices partitioned into pieces for parallel distributed-memory computations.

Matrix Algebra proGrams In Common Lisp.

Final project of IBM's course https://www.coursera.org/learn/machine-learning-with-python on coursera

Python code snippets from Discrete Mathematics for Computer Science specialization at Coursera

A #[no_std] LinAlg library

Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model

Fused Matrix Library

SADDLE: Scala Data Library

Wrappers for LAPACK (Fortran)

HiCMA: Hierarchical Computations on Manycore Architectures

Keith Devlin's Introduction to Mathematical Thinking course on Coursera (2017 Spring)

Using Computer with your Statistics Major Course

Computational Neuroscience Crash Course (University of Bordeaux, 2020)

GUI app for downloading whole online courses with folder structure from one url

Applied Data Science with Python Specialization: Course 4 (University of Michigan)

DBCSR: Distributed Block Compressed Sparse Row matrix library

NumLin: Linear Types for Linear Algebra

GPU-accelerated Computer Vision for JavaScript.

codebase for "A Theory of the Inductive Bias and Generalization of Kernel Regression and Wide Neural Networks"

Stanford University - Machine Learning by Andrew Ng

Haskell bindings to ArrayFire

Math library for game programming in python.

📊 All of courses, assignments, exercises, mini-projects and books that I've done so far in the process of learning by myself Machine Learning and Data Science.

www.coursera.org/professional-certificates/ibm-data-science

Courses by University of Pennsylvania via Coursera

Part of Google IT Automation with Python Professional Certificate. Solutions of Practice Quiz and Module Graded Assessments

ScaLAPACK development repository