PyTorch
pytorch.orgBuild and train Python machine-learning models with tensor operations, neural-network layers, and automatic differentiation.
Build and train Python machine-learning models with tensor operations, neural-network layers, and automatic differentiation.
A Windows editor for source and text files with configurable syntax highlighting and Perl- or JavaScript-style regular expressions.
Line, duotone and filled icons with matching framework packages.
Symbolic calculation through a compact command interface
Ray-traced scenes described with a text-based scene language
Subdivision modelling with context-sensitive tools and UV mapping
Build JVM and multiplatform applications with an open-source language and compiler toolchain.
Preview multiple replacements across text files
Manage versioned files with a distributed source-control tool and a concise command-line workflow.
Store and retrieve key-based data using Redis commands or a compatible client library.
Explore Python interactively with completion, object introspection and persistent command history.
A LaTeX source editor with command completion, error analysis and an integrated PDF viewer.
Sort, split and concatenate text lists
Join, split and compare line-based lists
A YAML-based CLI for asserting the installed packages, services, files, ports, and other state of a system.
Manage and preview your dotfiles across Linux, macOS, and Windows machines.
Runs open models locally and exposes a developer interface for using them from apps and coding tools.
Generate project scaffolds from templates and carry template changes into generated repositories.
Build interactive terminal applications in Go with an event-driven model, update, and view loop.
Edit source files with a lightweight cross-platform editor and optional Python add-ons.
A compact programmer's editor with both graphical and terminal interfaces and Lua-based customization.
Align and compare several text files
Filter and transform text lists in one workspace
A command-line tool for sending HTTP requests and asserting the responses as repeatable tests.