Search Results for "python math"
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Showing 23 open source projects for "python math"
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CUDA Python
Performance meets Productivity
CUDA Python is a unified Python interface for accessing and working with the NVIDIA CUDA platform, enabling developers to build GPU-accelerated applications entirely in Python. It acts as a metapackage composed of multiple submodules that provide both high-level and low-level access to CUDA functionality, including runtime APIs, driver APIs, and JIT compilation tools. The project is designed to simplify GPU programming by offering Pythonic abstractions while still exposing the full power of... -
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latexify
A library to generate LaTeX expression from Python code
latexify_py converts small, math-heavy pieces of Python code into human-readable LaTeX that mirrors the intent of the computation, not just its surface syntax. It parses Python functions and expressions into an abstract syntax tree (AST), applies symbolic rewrites for common mathematical constructs, and then emits LaTeX that compiles cleanly in standard environments. -
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SymPy
A computer algebra system written in pure Python
SymPy is an open source Python library for symbolic mathematics. Its goal is to become a full-featured computer algebra system (CAS) while maintaining the simplicity of its code. Written entirely in Python, SymPy is easy to use, comprehensible and easily extensible. It’s also very lightweight as it solely depends on mpmath, a pure Python library for arbitrary floating point arithmetic. SymPy has participated in every Google Summer of Code since 2007 and because of this has continuously... -
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EasyR1
An Efficient, Scalable, Multi-Modality RL Training Framework
EasyR1 is a streamlined training framework for building “R1-style” reasoning models from open-source LLMs with minimal boilerplate. It focuses on the full reasoning stack—data preparation, supervised fine-tuning, preference or outcome-based optimization, and lightweight evaluation—so you can iterate quickly on chain-of-thought–heavy tasks. The project’s philosophy is practicality: sensible defaults, one-command recipes, and compatibility with popular base models let you stand up experiments... -
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pytudes
Python programs, usually short, of considerable difficulty
pytudes is Peter Norvig’s collection of short Python programs written to practice and demonstrate specific programming skills. The name is inspired by musical études, meaning compact exercises designed to build mastery through focused practice. The repository includes readable solutions, experiments, notebooks, and scripts that cover algorithms, puzzles, probability, search, language processing, simulation, and mathematical reasoning. It is useful for programmers who want to study elegant... -
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DeepSpec
A full-stack codebase for training and evaluating speculative decoding
DeepSpec is a full-stack codebase for training and evaluating draft models used in speculative decoding. It provides the components needed to prepare data, train draft models, and measure acceptance behavior against target models. The workflow starts with data preparation, including prompt download, target answer regeneration, and target cache construction. It then trains a draft model using configuration files for different algorithms and target model setups. The evaluation pipeline... -
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Homemade Machine Learning
Python examples of popular machine learning algorithms
homemade-machine-learning is a repository by Oleksii Trekhleb containing Python implementations of classic machine-learning algorithms done “from scratch”, meaning you don’t rely heavily on high-level libraries but instead write the logic yourself to deepen understanding. Each algorithm is accompanied by mathematical explanations, visualizations (often via Jupyter notebooks), and interactive demos so you can tweak parameters, data, and observe outcomes in real time. The purpose is... -
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Abscom
A C11 library of reusable data structures and platform utilities.
Abscom bundles low-level building blocks — dynamic arrays, growable strings, hash functions, an open-addressing hash map, timing helpers, and simple file I/O — under a single umbrella header. On top of that it ships a Python-inspired dynamic runtime that brings var values, lists, dictionaries, sets, JSON, random utilities, and a light object system to plain C, plus a scientific layer with matrices, statistics, general math (scalar utilities, number theory, geometry, complex numbers), CSV, path helpers, and basic threading. A data science layer adds NumPy-style reshaping and generators, Pandas-style numeric CSV, functional utils, and SciKit-Learn-style preprocessing (one-hot encoding, train/test split). ... -
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Cobalt is a lightweight, experimental, fully object-oriented programming language built using Python. It is designed for learning programming concepts, language design, and rapid prototyping. Cobalt provides support for all major OOP features, including classes, objects, inheritance, polymorphism, abstraction, encapsulation, constructors, and reusable modular code design. The language uses a custom interpreter that performs lexical analysis, parsing, and runtime execution.
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3D Box rotation
Simple example of draw and rotate 3D box
...Rotation speed regulated in simple Loop with 10 ms sleep. Use Java version 8 (OpenJDK 8, OracleJDK 8, OracleJRE 8, ..). Higher versions have an anti-aliasing error in the BufferedImage ( Windows 10 ). Python version with tkinter and math imports. Including calculated faces, moving lights and shadows only with CPU. -
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mkdocs-void
Void is a new design language for MkDocs themes: a drop-in theme (name
Void is a custom MkDocs theme that blends the translucent, layered aesthetics of Glass design system with the minimal, industrial clarity of NothingOS. It combines pure black canvas, glass morphism panels, dot-matrix typography, and Nothing Red accents into a cohesive documentation experience. -
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Kalman and Bayesian Filters in Python
Kalman Filter book using Jupyter Notebook
...This book is interactive. While you can read it online as static content, it's better to use it as intended. It is written using Jupyter Notebook, which allows you to combine text, math, Python, and Python output in one place. -
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TF Quant Finance
High-performance TensorFlow library for quantitative finance
TF Quant Finance is a high-performance library of quantitative finance components built on TensorFlow, aimed at research and production workloads. It implements pricing engines, risk measures, stochastic models, optimizers, and random number generators that are differentiable and vectorized for accelerators. Users can value options and fixed-income instruments, simulate paths, fit curves, and calibrate models while leveraging TensorFlow’s jit compilation and automatic differentiation. The... -
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PythonRobotics
Python sample codes and textbook for robotics algorithms
...It keeps dependencies minimal so learners can focus on the math, implementation, and behavior of each robotics method. Visual examples and simulations help users see how algorithms move, estimate, plan, and react. PythonRobotics is especially useful for students, researchers, and engineers who want a hands-on reference for robotics fundamentals in Python. -
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Intel neon
Intel® Nervana™ reference deep learning framework
neon is Intel's reference deep learning framework committed to best performance on all hardware. Designed for ease of use and extensibility. See the new features in our latest release. We want to highlight that neon v2.0.0+ has been optimized for much better performance on CPUs by enabling Intel Math Kernel Library (MKL). The DNN (Deep Neural Networks) component of MKL that is used by neon is provided free of charge and downloaded automatically as part of the neon installation. The gpu... -
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Various emulators and experiments
Atari 2600, C64, Python, 3D engines and rock'n roll
...Furthermore the Modular Virtual. This project has been frozen because of lack of motivation. But what you will find here, is a lot assembly code for the Atari 2600 and C64, experiments with 3D math on Python. -
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interview
Everything you need to prepare for your technical interview
Interview is a large curated collection of resources for preparing for software engineering and technical job interviews. Instead of providing a single course, it organizes books, articles, practice sites, videos, mock interviews, question collections, and specialist guides in one repository. Algorithm preparation covers textbooks, coding challenge platforms, tutorials, and data-structure resources. General interview guidance includes resume advice, behavioral preparation, coding interviews,... -
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pyparsing is a general parsing module for Python. Grammars are implemented directly in the client code using parsing objects, instead of externally, as with lex/yacc-type tools. Includes simple examples for parsing SQL, CORBA IDL, and 4-function math
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Jake
Jake it's programming language writed on java.
Jake it's programming language writed on java. Syntax of Jake is mix of Java and Python. E.x.: -- IO library import "io" println("Hello, world!") More examples in release, download it's and open folder 'examples'. In Jake implemented: File-io; Http requesting(with post and get); Simple gui engine; Drawing canvas engine; Associate arrays; Basic math; Standart functions to work with strings; Jake it's OOP language without any OOP(yet), functional, imperative with half-strict data types. -
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math lib for .NET. n-dim arrays, complex numbers, linear algebra, FFT, sorting, cells- and logical arrays as well as 3D plotting classes help developing algorithms on every platform supporting .NET. Sources from SVN, binaries: http://ilnumerics.net
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Math tools in Python to tackle down problems in Operational Research fields. Comes with a Django based web interface to allow remote access to complex simulation means.
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PyLibrary
Libraries for Python developers.
Development in Python (be it website or an App development or implementation of an automation framework) always involves certain operations like handling db queries, operations on web, development of data structures, windows operations (handing services, registries), logging and many more... What, if you have these libraries handy with you all the time? Just import and start using them.. In comes PyLibrary.. PyLibrary is a collection of infrastructure libraries that aid faster... -
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Py4Calc
Python for calculators
Python4Calculators - Brings Python programming language to calculators. It turns simple scripts into programs for TI 83/84 and HP 49/50g series calculators. The language is a basic subset of Python, with access to the calculator's built in functions.
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