MuPDF is a PDF and XPS viewer and parser/rendering library.

The renderer in MuPDF is tailored for anti-aliased graphics. It
renders text with metrics and spacing accurate to within fractions of
a pixel for reproducing the look of a printed page on screen.

MuPDF supports PDF 1.7 with transparency, encryption, hyperlinks,
annotations and search. MuPDF can also read XPS documents
(OpenXPS/ECMA-388).

A commercial quality OCR engine originally developed at HP between 1985 and
1995. In 1995, this engine was among the top 3 evaluated by UNLV. It was
open-sourced by HP and UNLV in 2005. From 2007 it is developed by Google.

The clFFT library is an open source OpenCL library implementation of discrete
Fast Fourier Transforms, which:
* Provides a fast and accurate platform for calculating discrete FFTs.
* Works on CPU or GPU backends.
* Supports in-place or out-of-place transforms.
* Supports 1D, 2D, and 3D transforms with a batch size that can be greater
than 1.
* Supports planar (real and complex components in separate arrays) and
interleaved (real and complex components as a pair contiguous in memory)
formats.
* Supports dimension lengths that can be any mix of powers of 2, 3, and 5.
* Supports single and double precision floating point formats.

The GLPK package is intended for solving large-scale linear
programming, mixed integer programming, and other related problems. It
is a set of routines written in ANSI C and organized in the form of a
callable library.

IT++ is a C++ library of mathematical, signal processing and communication classes and functions. Its main use is in simulation of communication systems and for performing research in the area of communications. The kernel of the library consists of generic vector and matrix classes, and a set of accompanying routines. Such a kernel makes IT++ similar to MATLAB or GNU Octave.

MoleQueue is an open-source, cross-platform, system-tray resident desktop
application for abstracting, managing, and coordinating the execution of tasks
both locally and on remote computational resources. Users can set up local and
remote queues that describe where the task will be executed. Each queue can
have programs, with templates to facilitate the execution of the program. Input
files can be staged, and output files collected using a standard interface.
Some highlights:

* Open source distributed under the liberal 3-clause BSD license
* Cross platform with nightly builds on Linux, Mac OS X and Windows
* Intuitive interface designed to be useful to whole community
* Support for local executation and remote schedulers (SGE, PBS, SLURM)
* System tray resident application managing queue of queues and job lifetime
* Simple, lightweight JSON-RPC 2.0 based communication over local sockets
* Qt 5 client library for simple integration in Qt applications

Open Babel is a chemical toolbox designed to speak the many languages of chemical data. It's an open, collaborative project allowing anyone to search, convert, analyze, or store data from molecular modeling, chemistry, solid-state materials, biochemistry, or related areas.

OpenCL is a royalty-free standard for cross-platform, parallel programming
of modern processors found in personal computers, servers and
handheld/embedded devices.

This package provides the official Khronos Group OpenCL headers needed to
compile programs that use OpenCL.

MOPAC is a computational chemistry software package that implements a
variety of semi-empirical quantum chemistry methods based on the neglect of
diatomic differential overlap (NDDO) approximation and fit primarily for
gas-phase thermochemistry

AMD ROCm GPU Computing Stack

Packages that are neither part of ROCm nor on (some of) the
build targets but required for the ROCm build

This project provides packages related to Machine Learning.

LangSmith helps your team debug, evaluate, and monitor your language models and
intelligent agents. It works with any LLM Application, including a native
integration with the LangChain Python and LangChain JS open source libraries.

Stable Diffusion is a latent text-to-image diffusion model. Thanks to a generous compute donation from Stability AI and support from LAION, we were able to train a Latent Diffusion Model on 512x512 images from a subset of the LAION-5B database. Similar to Google's Imagen, this model uses a frozen CLIP ViT-L/14 text encoder to condition the model on text prompts. With its 860M UNet and 123M text encoder, the model is relatively lightweight and runs on a GPU with at least 10GB VRAM. See this section below and the model card.

Transformers provides thousands of pretrained models to perform tasks on
different modalities such as text, vision, and audio.

These models can be applied on text, for tasks like text classification,
information extraction, question answering, summarization, translation
and text generation; on images, for tasks like image classification,
object detection and segmentation; and on audio, for tasks like speech
recognition and audio classification.

The library is designed with two strong goals in mind: be as easy and
fast to use as possible, and provide state-of-the-art models with a
unified API.