numerical-computing
There are 43 repositories under numerical-computing topic.
stdlib-js/stdlib
✨ The fundamental numerical library for JavaScript and TypeScript. ✨
PDLPorters/pdl
Scientific computing with Perl
farukalpay/FABE
High-accuracy SIMD sin/cos/sincos library in C with AVX2, AVX-512, and NEON support. Full-range reduction. Fast at scale. Portable by design.
SciScala/NDScala
N-dimensional / multi-dimensional arrays (tensors) in Scala 3. Think NumPy ndarray / PyTorch Tensor but type-safe over shapes, array/axis labels & numeric data types
ishmahafeez/Computer-Science-Notes
Computer Science PDF notes
rohanmistry231/Numpy-Interview-Preparation
A focused resource for mastering NumPy, featuring practice problems, code examples, and interview-oriented numerical computing techniques in Python. Covers array operations, linear algebra, and performance optimization for data science interviews.
chenmingxiang110/J4darrays
A java package for nd-array calculations
shahzaibk23/Numerical-Computing-Python
Python implementation of Methods and Algorithm or Numerical Computing Course. You just have to Enter the input values from the question and All the iterations will be generated automatically.
dusky04/goopy
a basic numpy-like library in c with broadcasting :)
AayushKotwani3/Numpy-masterclass
Comprehensive hands-on notes, examples, and exercises to master NumPy from basics to advanced.
muditbhargava66/FFT-implementation-in-C
The repository provides code, build instructions, and usage guidelines for each FFT implementation.
gramian/matrico
A flonum matrix module for CHICKEN Scheme.
HolubievIllya/Matrix-Operations-Python
The code provides a collection of functions for matrix changes, including transposing, finding the rank, inverting, multiplying.
arbitrary-number/arbitrary-number
Arbitrary Numbers
muhammad-umaair/NumericalAnalysis
Complete numerical computing labs with pdf documents. You just need to change coding according to your question requirements.
NechbaMohammed/OptiNumPy
This repository contains the source code and documentation for the OptiNumPy library, a numerical analysis optimization package written in Python. The library provides various numerical optimization algorithms for solving optimization problems.
Sourabh-Kumar04/Numpy-Basic
Numpy-Basic is a structured learning repo covering NumPy from basics to advanced. It includes arrays, indexing, reshaping, filtering, vector ops, angle functions, stats, and .npy file handling. Each concept is explained with code, examples, and Matplotlib visualizations in both light and dark modes. Ideal for students and data learners.
Abdirashid-dv/Numerical-Methods-Using-Python
Explore Python implementations of numerical methods for solving mathematical problems. Includes root-finding, integration, and more.
Abhrankan-Chakrabarti/sqrt
A high-precision square root calculator written in Rust using the Malachite library. Supports both interactive and command-line modes, allowing users to compute the square root of any positive integer to an arbitrary number of decimal digits with fixed-point accuracy.
AitzazTahirCh/Numerical-Computing
This repository contains Numerical Computing important concepts notes (leading to machine learning and approximately in every field of computer science) implemented in Python Notebooks.
NeuralAditya/Polynomial_Regression_C
A high-performance polynomial regression implementation in pure C with gradient descent optimization and visualization support.
Abduullaahh/Computer-Science-Academia
This repository contains data related to BS Computer Science
TheConverseEngineer/DeltaPy
A lightweight auto-differentiation and backpropagation library written in python using numpy.
waynewbishop/bishop-algorithms-quiver-package
A Swift package that provides vector mathematics, numerical computing, and statistical operations.
abbaskhan0345/numpy-learning
NumPy Essentials in Python – A collection of examples and mini-projects demonstrating array manipulation, mathematical operations, broadcasting, and performance optimization using NumPy. This repo showcases key concepts for scientific computing and data analysis workflows.
Awais11227/NUMPY-IN-PYTHON
Practice codes and examples using NumPy in Python, covering arrays, mathematical operations, indexing, and data manipulation.
Ayikoandrew/odin-ML
Exploring Machine Learning at a low level. Implementing algorithms from scratch in Odin, one Sunday at a time.
beenotung/svd.ts
A lightweight, isomorphic TypeScript implementation for computing Singular Value Decomposition (SVD) of matrix in Node.js and browsers.
chanbengz/sustcsc-rs
SUSTCSC 2025 Basic Track, Rust Programming
harinandanmv/numpy-practice
A collection of beginner-friendly NumPy tasks designed to explore fundamental array operations in Python. Covers array creation, reshaping, slicing, mathematical operations, identity matrices, random data generation, and more — perfect for hands-on practice and foundational learning in scientific computing with NumPy.
mariarodr1136/NumDynamics
NumDynamics is an advanced random number generation system that combines C's performance with Python's analytical power. It generates, analyzes, and visualizes random numbers across various statistical distributions, offering a precise and efficient toolkit for random number analysis. 📊
rodpcastro/wildf
WildF is a Fortran library for evaluating mathematical Special Functions.
SatvikPraveen/OctaveMasterPro
Advanced numerical computing framework with GNU Octave featuring parallel processing, optimization algorithms, statistical analysis, and comprehensive data science applications. Includes Dockerized Jupyter environment, financial modeling, signal/image processing pipelines, industrial analytics, and real-world demonstrations.
SatvikPraveen/ScipyMasterPro
🔬 SciPyMasterPro — A hands-on, modular project to master SciPy for statistics, optimization, linear algebra, curve fitting, and simulations. Includes 10+ Jupyter notebooks, an interactive Streamlit app, synthetic datasets, reusable utility functions, Dockerized setup, and cheatsheets for fast recall, portfolio building, and interview prep.
Stellarous/netSci-models
Basic models in network science.