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105 search results found

100 Days Of Ml Code ⭐ 42,417

100 Days of ML Coding

Deeplearning4j ⭐ 13,397

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.

Numerical Linear Algebra ⭐ 9,850

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Data Science Roadmap ⭐ 2,445

Data Science Roadmap from A to Z

Ml Foundations ⭐ 2,224

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

Linear Algebra With Python ⭐ 2,160

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.

Numpy_exercises ⭐ 1,407

Numpy exercises.

Hackermath ⭐ 1,339

Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way

Tutorials ⭐ 847

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Qusimpy ⭐ 687

A Multi-Qubit Ideal Quantum Computer Simulator

Cudamat ⭐ 542

Python module for performing basic dense linear algebra computations on the GPU using CUDA.

Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.

Basic Mathematics For Machine Learning ⭐ 418

The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

100daysofmlcode ⭐ 302

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings 👍

Pygraphblas ⭐ 269

GraphBLAS for Python

Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax

An intelligent block matrix library for numpy, PyTorch, and beyond.

Machine Learning Curriculum ⭐ 248

Complete path for a beginner to become a Machine Learning Scientist!

Play With Linear Algebra ⭐ 235

Codes of my MOOC Course <Play with Linear Algebra>. Updated contents and practices are also included. 我在慕课网上的课程《玩转线性代数》示例代码，使用Python语言。课程的更多更新内容及辅助练习也将逐

Labs for the Foundations of Applied Mathematics curriculum.

Cpmoptimize ⭐ 173

🚀 🐍 Optimizes Python bytecode calculating linear recurrences, reducing the time complexity from O(n) to O(log n)

Oneapi Spec ⭐ 156

oneAPI Specification source files

Discretize ⭐ 150

Discretization tools for finite volume and inverse problems.

A framework for high-performance domain decomposition methods.

Vector-geometry toolbelt for 3D points and vectors

Xitorch ⭐ 108

Differentiable scientific computing library

Python Preprocessor for LaTeX

Engcomp4_landlinear ⭐ 104

Using computational thinking to get deep insights on the foundations of linear algebra

Python Graphblas ⭐ 95

Python library for GraphBLAS: high-performance sparse linear algebra for scalable graph analytics

Python code implementing the power method for Singular Value Decomposition

Transformations ⭐ 69

Homogeneous Transformation Matrices and Quaternions. Forked from https://pypi.org/project/transformations

Introduction To Python Numerical Analysis For Engineers And Scientist ⭐ 69

Introduction to Python: Numerical Analysis for Engineers and Scientist. In 2017, Python became the world's most popular programming language. This course covers the basic syntax, linear algebra, plotting, and more to prepare students for solving numerical problems with Python.

Fastai Num Linalg V2 Zh ⭐ 69

📖 [译] fast.ai 数值线性代数讲义 v2

Undergraduate In Statistics ⭐ 60

Using Computer with your Statistics Major Course

Scikit Spatial ⭐ 54

Spatial objects and computations based on NumPy arrays.

Xarray Einstats ⭐ 54

Stats, linear algebra and einops for xarray

Nagpythonexamples ⭐ 52

Examples and demos showing how to call functions from the NAG Library for Python

Tensor decomposition with arbitrary expressions: inner, outer, elementwise operators; nonlinear transformations; and more.

Learn Linalg ⭐ 44

Learning some numerical linear algebra.

Linnea is an experimental tool for the automatic generation of optimized code for linear algebra problems.

A python binding of Dart, an open source simulation package

Mathematics For Machine Learning And Data Science Specialization Coursera ⭐ 42

Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes

Publications ⭐ 42

My publications on Medium

Pyproximal ⭐ 40

PyProximal – Proximal Operators and Algorithms in Python

Math_object_detection ⭐ 38

An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.

Chen 3170 ⭐ 37

Computational Methods in Chemical Engineering (UMass Lowell, Spring 2024); Prof. Valmor F. de Almeida.

Cython helper for linear algebra with typed memoryviews built atop of Eigen C++ library

Learn Machine Learning In 3 Month ⭐ 34

Poisson Solver 2d ⭐ 34

Finite difference solution of 2D Poisson equation. Can handle Dirichlet, Neumann and mixed boundary conditions.

Coding The Matrix Linear Algebra Through Computer Science Applications ⭐ 30

Pymatsolver ⭐ 29

Solve matrix equations in python.

SMPT is a SMT-based model checker for Petri nets focused on reachability problems that takes advantage of net reductions (polyhedral reductions).

Numpysane ⭐ 26

more-reasonable core functionality for numpy

Mathematics For Machine Learning And Data Science Specialization ⭐ 25

Non-credit online course by DeepLearning.AI

A pure Python library for benchmarked, scalable numerics using numba.

Cncc 2019 ⭐ 24

Computational Neuroscience Crash Course (CNCC 2019)

Pygamemath ⭐ 23

Math library for game programming in python.

Python+Rust implementation of the Probabilistic Principal Component Analysis model

Linear Algebra ⭐ 20

A descriptive & intuitive guide to Linear Algebra!

Cncc 2020 ⭐ 20

Computational Neuroscience Crash Course (University of Bordeaux, 2020)

Shape Recognition ⭐ 20

Neural Network to detect 2D shapes

An open-source generalized sparse linear algebra framework with vendor-agnostic GPUs accelerated computations

Geometry Simple ⭐ 18

3D geometry library for python. Forked from http://code.google.com/p/geometry-simple/

Pagerank ⭐ 18

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

Pylspack ⭐ 17

A lightweight, multithreaded Python package for sketching, column selection, leverage scores and related computations.

Data Science Beginners Guide ⭐ 17

📊A Beginner's Guide To Data Science. 📈 📉Start your self-learning journey into the world of data right now.

Sparse linear Boolean algebra for Nvidia Cuda

Pycapacity ⭐ 14

An efficient task-space capacity calculation package for robotics and biomechanics

Launchpad ⭐ 14

Resources to get started in Quantum Computing!

Math App Ml ⭐ 13

Essential mathematics for applied machine learning and data science

Pythonforrusers ⭐ 13

Notebooks to introduce R users to Python

Mathematics For Machine Learning Linear Algebra ⭐ 12

Math For Ml ⭐ 12

Mathematical preliminaries for machine learning

Ds Scriptsnook ⭐ 11

🎊One Stop Destination to get acquainted with scripts in Data Science. Turn yourself into a pro. Show your support by ✨ this repository.

Ga Dat 08 ⭐ 11

GA Data Science

PyRSB: a Python interface to the librsb Sparse Matrix library

Jaxlinop ⭐ 11

Linear Operators in JAX.

Mprod_package ⭐ 11

Software implementation for tensor-tensor m-product

Various Data Science Scripts ⭐ 10

A collection of coding scripts, notes, and mini-projects with reference to a series of Data Science, Web Development, programming concepts and foundations, and miscellaneous tech topics.

A Python toolbox for pentadiagonal linear systems

Temporalnetworkepidemics ⭐ 9

A matrix based approach to epidemics on temporal networks. We use methods from linear algebra to simulate infection processes on time-varying topologies. For more information see reference

Numerical Optimization Machine Learning ⭐ 9

Codes for popular numerical optimization methods and machine learning algorithms

A grain boundary generation code

Machine Learning Lecture Notes ⭐ 9

Lecture notes and codes for machine learning

Curriculum ⭐ 9

Links and resources to everything I am looking to study sometime in the future...

Forest Fire Predictor ⭐ 8

Predict the damage done by forest fires using Deep Learning.

Hypemaths ⭐ 8

A extensible and easy way for advanced maths and its implementation in python!

Gradphi: Our linear algebra, autodiff and machine learning playground. It's a bit wild, but that's how we are.

Cheatsheets ⭐ 7

Here you find CheatSheets for Data Science Topics

Cr Nimble ⭐ 7

Fast linear algebra and signal processing utilities

Numerical Linear Algebra ⭐ 7

A course on Linear Algebra using Python in Jupyter notebooks

Hotstepper ⭐ 7

A Numpy based step function library for analysis and profit. More than just taking you up and down.

Randomized Linear Algebra in Python

Quantum Computing Python Library

Coding_the_matrix ⭐ 6

Self-Study of Linear Algebra Using Philip Klein's Materials

Linearsystemsolver ⭐ 6

Algebra Linear System Solver Task, Second Year 1st Semester - UNI211T.

Adv Optimization Physics Py ⭐ 6

🌌🛩 𝗻𝘂𝗺𝗲𝗿𝗶𝗰𝗮𝗹 𝗺𝗲𝘁𝗵𝗼𝗱𝘀 𝗳𝗼𝗿 𝗽𝗵𝘆𝘀𝗶𝗰𝘀: 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁𝗶𝗮𝘁𝗶𝗼𝗻, 𝗼𝗿𝗱𝗶𝗻𝗮𝗿𝘆, 𝗮𝗱𝘃𝗲𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗵𝘆𝗽𝗲𝗿𝗯𝗼𝗹𝗶𝗰 𝗽𝗮𝗿𝘁𝗶𝗮𝗹 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁𝗶𝗮𝗹 𝗲𝗾𝘀

Introductory_maths ⭐ 6

A repository of tutorials to revise mathematical concepts required for statistics and machine learning

Picrypter ⭐ 6

NYCU LA final project

Introduction To Data Analyst And Data Science ⭐ 6

Introduction to Data Analyst and Data Science for Beginners

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