729 Open source projects that are alternatives of or similar to Odl

Squid – type-safe metaprogramming and compilation framework for Scala

A design tool, built using Recoil.

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

COSMO: Accelerated ADMM-based solver for convex conic optimisation problems (LP, QP, SOCP, SDP, ExpCP, PowCP). Automatic chordal decomposition of sparse semidefinite programs.

🚵 a Journey of Performance Optimizing in Frontend 🚀

EvalML is an AutoML library written in python.

The Python Toolbox for Robotics

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

A CLI React performance optimization tool that identifies potential unnecessary re-rendering

Python Geohash Compression Tool

papers on scalable and efficient machine learning systems

snAppy is a VS Code extension coupled with an interactive view to support your React front-end delivery.

A library for the computation of Nash equilibria in two player games

Soot - A Java optimization framework

Bayesian optimization for Python

Self-rendering Markdown + LaTeX documents

DEPRECATED: Multiplatform GUI Prototyping/Wireframing

Source code of calculators hosted at https://www.alpertron.com.ar

Pure Math in Pure Swift.

Polyglot solutions for www.projecteuler.net mathematical challenges

An abstraction layer for mathematical optimization solvers.

Surrogate Optimization Toolbox for Python

Lattice algorithms using floating-point arithmetic

Scientific Computing with Pharo

Sketchize is built for UI/UX Designers to help them design lovely apps for mobile, tablet, and desktop devices.

A library of abstract interfaces for mathematical structures in Coq [[email protected]]

An exceptionally fast, thorough and tiny unused-CSS cleaner

3D transformations for Python

Access v8 Engine Natives easily in Chrome & Node

No description or website provided.

R package to model Mixed Integer Linear Programs

📚A list of core knowledge that most Android programmers need to know. (continuously updated...)

An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks. Work in progress.

Ubpa Graphics Mathematics

Quickly try out any Swift pod or framework in a playground

🚀 🐍 Optimizes Python bytecode calculating linear recurrences

Inject hardware interactions directly into HTML layout.

Fsharp LInear Programming System

This is source code of graphonline service. Graphonline helps visualize graph and applies a lot of algorithms.

⚡️ A lightning fast HTTP router

🧠 React memoization library we all deserve

Sequential model-based optimization with a `scipy.optimize` interface

A computational algebra system in Smalltalk.

MagJS - Modular Application Glue

Comparison of IQA models in Perceptual Optimization

A prototyping component library

a lightweight and simple logger for Machine Learning

🐣 vue GUI generator

Bayesian multi-object tracking

Computator.NET is a special kind of numerical software that is fast and easy to use but not worse than others feature-wise. It's features include: - Real and complex functions charts - Real and complex calculator - Real functions numerical calculations including different methods - Over 107 Elementary functions - Over 141 Special functions - Over 21 Matrix functions and operations - Scripting language with power to easy computations including matrices - You can declare your own custom functions with scripting language

Serverless.js plugin that implements AWS Lambda Layers which reduces drastically lambda size, warm-up and deployment time.

Collection of structured data snippets in Google preferred JSON-LD format.

A set of notebooks for an introduction to Python for Mathematicians.

Mathematical finance cheat sheet.

Simple mesh generator inspired by distmesh.

Toolbox for Bayesian Optimization and Model-Based Optimization in R

Online video stabilization using a novel MeshFlow motion model

Local, global, and beyond optimization for scientific machine learning (SciML)

Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra