lxqt-powermanagement is providing tools to monitor power management events and optionally trigger actions like e. g. shut down a system when laptop batteries are low on power.

lxqt-openssh-askpass is a GUI to query credentials on behalf of other programs.

GNU M4 is an implementation of the M4 macro language, which features some extensions over other implementations, some of which are required by GNU Autoconf. It is used as a macro processor, which means it processes text, expanding macros as it encounters them. It also has some built-in functions, for example to run shell commands or to do arithmetic.

FANN is a neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks.

jaxtyping provides type annotations and runtime checking for shape and dtype of JAX arrays, PyTorch, NumPy, TensorFlow, and PyTrees.

Scikit-learn provides simple and efficient tools for data mining and data analysis.

This variant of the ONNX package is built as a static C++ library with schema registration disabled, for linking into onnxruntime. It should not be used standalone.

This package provides multiplicatively convolutional fast integral transforms.

NNPACK is an acceleration package for neural network computations. NNPACK aims to provide high-performance implementations of convnet layers for multi-core CPUs.

NNPACK is not intended to be directly used by machine learning researchers; instead it provides low-level performance primitives leveraged in leading deep learning frameworks, such as PyTorch, Caffe2, MXNet, tiny-dnn, Caffe, Torch, and Darknet.

fastText is a library for efficient learning of word representations and sentence classification.

Lantern provides a C API to the libtorch machine learning library.

KoboldCpp is an easy-to-use AI text-generation software for GGML and GGUF models, builds off llama.cpp and adds many additional features:

• Runs on CPU or GPU, supports full or partial offloaded

• LLM text generation (Supports all GGML and GGUF models, backwards compatibility with ALL past models)

• Image Generation (Stable Diffusion 1.5, SDXL, SD3, Flux)

• Speech-To-Text (Voice Recognition) via Whisper

• Text-To-Speech (Voice Generation) via OuteTTS, Kokoro, Parler and Dia

• Provides many compatible APIs endpoints for many popular webservices (KoboldCppApi OpenAiApi OllamaApi A1111ForgeApi ComfyUiApi WhisperTranscribeApi XttsApi OpenAiSpeechApi)

• Bundled KoboldAI Lite UI with editing tools, save formats, memory, world info, author's note, characters, scenarios

• Includes multiple modes (chat, adventure, instruct, storywriter) and UI Themes (aesthetic roleplay, classic writer, corporate assistant messsenger)

• Supports loading Tavern Character Cards, importing many different data formats from various sites, reading or exporting JSON savefiles and persistent stories

• Many other features including new samplers, regex support websearch, RAG via TextDB, image recognition/vision and more

All up-to-date GGUF models are supported, and KoboldCpp also includes backward compatibility for older versions/legacy GGML models.

cleanlab automatically finds and fixes errors in any ML dataset. This data-centric AI package facilitates machine learning with messy, real-world data by providing clean labels during training.

fastText is a library for efficient learning of word representations and sentence classification.

ONNX is a format for AI models, both deep learning and traditional ML. It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types.

This package provides simple access speech to text for using in Linux without being tied to a desktop environment, using the vosk-api. The user configuration lets you manipulate text using Python string operations. It has zero overhead, as this relies on manual activation and there are no background processes. Dictation is accessed manually with nerd-dictation begin and nerd-dictation end commands.

apricot implements submodular optimization for the purpose of summarizing massive data sets into minimally redundant subsets that are still representative of the original data. These subsets are useful for both visualizing the modalities in the data and for training accurate machine learning models with just a fraction of the examples and compute.

This package provides simple access speech to text for using in Linux without being tied to a desktop environment, using the vosk-api. The user configuration lets you manipulate text using Python string operations. It has zero overhead, as this relies on manual activation and there are no background processes. Dictation is accessed manually with nerd-dictation begin and nerd-dictation end commands.

ggml is a ML library written in C and C++ with a focus on transformer inference, similar to ML libraries such as PyTorch and TensorFlow.

This package is a toolbox for optimization on Riemannian manifolds with support for automatic differentiation.

CTranslate2 is a C++ and Python library for efficient inference with Transformer models.

The project implements a custom runtime that applies many performance optimization techniques such as weights quantization, layers fusion, batch reordering, etc., to accelerate and reduce the memory usage of Transformer models on CPU and GPU.

GPy is a Gaussian Process (GP) framework written in Python, from the Sheffield machine learning group. GPy implements a range of machine learning algorithms based on GPs.

This package provides a Python wrapper for the SentencePiece unsupervised text tokenizer.

TensorPipe provides a tensor-aware channel to transfer rich objects from one process to another while using the fastest transport for the tensors contained therein.