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    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
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/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/

Enter the query into the form above. You can look for specific version of a package by using @ symbol like this: gcc@10.

API method:

GET /api/packages?search=hello&page=1&limit=20

where search is your query, page is a page number and limit is a number of items on a single page. Pagination information (such as a number of pages and etc) is returned in response headers.

If you'd like to join our channel webring send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.


onnxruntime 1.22.0
Dependencies: abseil-cpp@20250127.1 boost@1.83.0 cpuinfo@0.0-5.b73ae6c dlpack@1.1 c++-gsl@4.2.0 date@3.0.1 eigen-for-onnxruntime@3.4.0-0.1d8b82b flatbuffers@23.5.26 googletest@1.12.1 nlohmann-json@3.12.0 onnx@1.17.0 protobuf@3.21.9 pybind11@2.13.6 re2@2024-07-02 safeint@3.0.28 zlib@1.3.1
Propagated dependencies: python-coloredlogs@10.0 python-flatbuffers@24.12.23 python-protobuf@3.20.3 python-sympy@1.13.3
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://github.com/microsoft/onnxruntime
Licenses: Expat
Synopsis: Cross-platform, high performance scoring engine for ML models
Description:

ONNX Runtime is a performance-focused complete scoring engine for Open Neural Network Exchange (ONNX) models, with an open extensible architecture to continually address the latest developments in AI and Deep Learning. ONNX Runtime stays up to date with the ONNX standard with complete implementation of all ONNX operators, and supports all ONNX releases (1.2+) with both future and backwards compatibility.

gst-kaldi-nnet2-online 0-3.7888ae5
Dependencies: glib@2.83.3 gstreamer@1.26.3 jansson@2.14 openfst@1.8.4 kaldi@0-2.01aadd7
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://kaldi-asr.org/
Licenses: ASL 2.0
Synopsis: Gstreamer plugin for decoding speech
Description:

This package provides a GStreamer plugin that wraps Kaldi's SingleUtteranceNnet2Decoder. It requires iVector-adapted DNN acoustic models. The iVectors are adapted to the current audio stream automatically.

ideep-pytorch 3.3.2
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://github.com/intel/ideep
Licenses: Expat
Synopsis: Ideep headers for internal use by PyTorch
Description:

This library is used internally as header-only library by PyTorch.

python-scikit-learn 1.7.0
Dependencies: openblas@0.3.30
Propagated dependencies: python-joblib@1.5.1 python-numpy@1.26.4 python-scipy@1.12.0 python-threadpoolctl@3.1.0
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://scikit-learn.org/
Licenses: Modified BSD
Synopsis: Machine Learning in Python
Description:

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

liblantern 0.13.0
Dependencies: python-pytorch@2.0.1
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://github.com/mlverse/torch/
Licenses: Expat
Synopsis: C API to libtorch
Description:

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

oneapi-dnnl 2.7.3
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://github.com/oneapi-src/oneDNN
Licenses: ASL 2.0
Synopsis: Deep Neural Network Library
Description:

OneAPI Deep Neural Network Library (oneDNN) is a cross-platform performance library of basic building blocks for deep learning applications.

python-iml 0.6.2
Propagated dependencies: python-ipython@8.37.0 python-numpy@1.26.4 python-pandas@2.2.3 python-scipy@1.12.0
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://github.com/interpretable-ml/iml
Licenses: Expat
Synopsis: Interpretable Machine Learning (iML) package
Description:

Interpretable ML (iML) is a set of data type objects, visualizations, and interfaces that can be used by any method designed to explain the predictions of machine learning models (or really the output of any function). It currently contains the interface and IO code from the Shap project, and it will potentially also do the same for the Lime project.

python-pytorch-lightning 2.5.5
Propagated dependencies: python-arrow@1.3.0 python-beautifulsoup4@4.13.5 python-croniter@1.3.4 python-dateutils@0.6.12 python-deepdiff@8.5.0 python-fastapi@0.115.6 python-fsspec@2025.9.0 python-inquirer@3.1.3 python-jsonargparse@4.37.0 python-lightning-cloud@0.5.70 python-lightning-utilities@0.14.3 python-numpy@1.26.4 python-packaging@25.0 python-pytorch@2.8.0 python-pyyaml@6.0.2 python-torchmetrics@1.4.1 python-torchvision@0.24.0 python-tqdm@4.67.1 python-traitlets@5.14.1 python-typing-extensions@4.15.0
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://lightning.ai/
Licenses: ASL 2.0
Synopsis: Deep learning framework to train, deploy, and ship AI products
Description:

PyTorch Lightning is just organized PyTorch; Lightning disentangles PyTorch code to decouple the science from the engineering.

python-transformers 4.44.2
Propagated dependencies: python-filelock@3.16.1 python-huggingface-hub@0.31.4 python-numpy@1.26.4 python-pytorch@2.8.0 python-pyyaml@6.0.2 python-regex@2024.11.6 python-requests@2.32.5 python-safetensors@0.4.3 python-tokenizers@0.19.1 python-tqdm@4.67.1
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://github.com/huggingface/transformers
Licenses: ASL 2.0
Synopsis: Machine Learning for PyTorch and TensorFlow
Description:

This package provides easy download of 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, in over 100 languages.

  • Images, for tasks like image classification, object detection, and segmentation.

  • Audio, for tasks like speech recognition and audio classification.

Transformer models can also perform tasks on several modalities combined, such as table question answering, optical character recognition, information extraction from scanned documents, video classification, and visual question answering.

This package provides APIs to quickly download and use those pretrained models on a given text, fine-tune them on your own datasets and then share them with the community. At the same time, each Python module defining an architecture is fully standalone and can be modified to enable quick research experiments.

Transformers is backed by the three most popular deep learning libraries — Jax, PyTorch and TensorFlow — with a seamless integration between them.

python-geomloss 0.2.6
Propagated dependencies: python-numpy@1.26.4 python-pytorch@2.8.0
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://www.kernel-operations.io/geomloss/
Licenses: Expat
Synopsis: Geometric loss functions between point clouds, images and volumes
Description:

The GeomLoss library provides efficient GPU implementations for:

  • Kernel norms (also known as Maximum Mean Discrepancies).

  • Hausdorff divergences, which are positive definite generalizations of the Chamfer-ICP loss and are analogous to log-likelihoods of Gaussian Mixture Models.

  • Debiased Sinkhorn divergences, which are affordable yet positive and definite approximations of Optimal Transport (Wasserstein) distances.

dmlc-core 0.5-1.1334185
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://github.com/dmlc/dmlc-core
Licenses: ASL 2.0
Synopsis: Common bricks library for machine learning
Description:

DMLC-Core is the backbone library to support all DMLC projects, offers the bricks to build efficient and scalable distributed machine learning libraries.

python-faster-whisper 1.2.0
Propagated dependencies: onnxruntime@1.22.0 python-av@14.4.0 python-ctranslate2@4.6.0 python-huggingface-hub@0.31.4 python-tokenizers@0.19.1 python-tqdm@4.67.1
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://github.com/SYSTRAN/faster-whisper
Licenses: Expat
Synopsis: Whisper transcription reimplementation
Description:

This package provides a reimplementation of OpenAI's Whisper model using CTranslate2, which is a inference engine for transformer models.

python-umap-learn 0.5.9
Propagated dependencies: python-numba@0.61.0 python-numpy@1.26.4 python-pynndescent@0.5.13 python-scikit-learn@1.7.0 python-scipy@1.12.0 python-tqdm@4.67.1
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://github.com/lmcinnes/umap
Licenses: Modified BSD
Synopsis: Uniform Manifold Approximation and Projection
Description:

Uniform Manifold Approximation and Projection is a dimension reduction technique that can be used for visualization similarly to t-SNE, but also for general non-linear dimension reduction.

python-pymanopt 2.2.1
Propagated dependencies: python-numpy@1.26.4 python-scipy@1.12.0
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://pymanopt.org/
Licenses: Modified BSD
Synopsis: Toolbox for optimization on Riemannian manifolds
Description:

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

python-ml-collections 1.0.0
Propagated dependencies: python-absl-py@2.3.1 python-pyyaml@6.0.2
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://github.com/google/ml_collections
Licenses: ASL 2.0
Synopsis: Python collections designed for Machine Learning usecases
Description:

ML Collections is a library of Python collections designed for Machine Learning usecases.

python-linear-operator 0.6
Propagated dependencies: python-jaxtyping@0.2.21 python-mpmath@1.3.0 python-pytorch@2.8.0 python-scipy@1.12.0
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://github.com/cornellius-gp/linear_operator/
Licenses: Expat
Synopsis: Linear operator implementation
Description:

LinearOperator is a PyTorch package for abstracting away the linear algebra routines needed for structured matrices (or operators).

python-scikit-learn 1.6.1
Dependencies: openblas@0.3.30
Propagated dependencies: python-joblib@1.5.1 python-numpy@1.26.4 python-scipy@1.12.0 python-threadpoolctl@3.1.0
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://scikit-learn.org/
Licenses: Modified BSD
Synopsis: Machine Learning in Python
Description:

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

magic-wormhole-transit-relay 0.4.0
Propagated dependencies: python-autobahn@24.4.2 python-service-identity@24.2.0 python-twisted@24.11.0
Channel: guix
Location: gnu/packages/magic-wormhole.scm (gnu packages magic-wormhole)
Home page: https://github.com/magic-wormhole/magic-wormhole-transit-relay
Licenses: Expat
Synopsis: Magic-Wormhole relay server
Description:

This package provides the Magic-Wormhole Transit Relay server, which helps clients establish bulk-data transit connections even when both are behind NAT boxes. Each side makes a TCP connection to this server and presents a handshake. Two connections with identical handshakes are glued together, allowing them to pretend they have a direct connection.

magic-wormhole-mailbox-server 0.5.1
Propagated dependencies: python-attrs@25.3.0 python-autobahn@24.4.2 python-idna@3.10 python-service-identity@24.2.0 python-treq@24.9.1
Channel: guix
Location: gnu/packages/magic-wormhole.scm (gnu packages magic-wormhole)
Home page: https://github.com/magic-wormhole/magic-wormhole-mailbox-server
Licenses: Expat
Synopsis: Magic-Wormhole central mailbox server
Description:

This package provides the main server that Magic-Wormhole clients connect to. The server performs store-and-forward delivery for small key-exchange and control messages. Bulk data is sent over a direct TCP connection, or through a transit-relay.

magic-wormhole 0.19.2
Propagated dependencies: python-attrs@25.3.0 python-autobahn@24.4.2 python-automat@24.8.1 python-click@8.1.8 python-humanize@4.0.0 python-iterable-io@1.0.0 python-noiseprotocol@0.3.1 python-pynacl@1.5.0 python-qrcode@8.0 python-spake2@0.9 python-tqdm@4.67.1 python-twisted@24.11.0 python-txtorcon@24.8.0 python-zipstream-ng@1.7.1
Channel: guix
Location: gnu/packages/magic-wormhole.scm (gnu packages magic-wormhole)
Home page: https://github.com/magic-wormhole/magic-wormhole
Licenses: Expat
Synopsis: Securely transfer data between computers
Description:

Magic-Wormhole is a library and a command-line tool named wormhole, which makes it possible to securely transfer arbitrary-sized files and directories (or short pieces of text) from one computer to another. The two endpoints are identified by using identical "wormhole codes": in general, the sending machine generates and displays the code, which must then be typed into the receiving machine.

The codes are short and human-pronounceable, using a phonetically-distinct wordlist. The receiving side offers tab-completion on the codewords, so usually only a few characters must be typed. Wormhole codes are single-use and do not need to be memorized.

python-dkimpy 1.0.5
Dependencies: openssl@3.0.8
Propagated dependencies: python-dnspython@2.7.0
Channel: guix
Location: gnu/packages/mail.scm (gnu packages mail)
Home page: https://launchpad.net/dkimpy
Licenses: Modified BSD
Synopsis: DKIM (DomainKeys Identified Mail)
Description:

Python module that implements DKIM (DomainKeys Identified Mail) email signing and verification (RFC6376). It also provides helper scripts for command line signing and verification. It supports DKIM signing/verifying of ed25519-sha256 signatures (RFC 8463). It also supports the RFC 8617 Authenticated Received Chain (ARC) protocol.

pan 0.149
Dependencies: gmime@3.2.15 gnupg@2.4.7 gnutls@3.8.3 gtk+@3.24.49 gtkspell3@3.0.10 libnotify@0.8.3 libsecret@0.21.4 libxml2@2.14.6 zlib@1.3.1
Channel: guix
Location: gnu/packages/mail.scm (gnu packages mail)
Home page: http://pan.rebelbase.com/
Licenses: FDL 1.1+ GPL 2
Synopsis: Usenet newsreader
Description:

pan is a Usenet newsreader that's good at both text and binaries. It supports offline reading, scoring and killfiles, yEnc, NZB, PGP handling, multiple servers, and secure connections.

opensmtpd-extras 6.7.1
Dependencies: libressl@4.2.0 libevent@2.1.12 libxcrypt@4.4.38 mariadb@10.11.14 opensmtpd@7.7.0p0 postgresql@14.13 python2@2.7.18 sqlite@3.39.3
Channel: guix
Location: gnu/packages/mail.scm (gnu packages mail)
Home page: https://www.opensmtpd.org
Licenses: FreeBSD Modified BSD ISC
Synopsis: Extra tables, filters, and various other addons for OpenSMTPD
Description:

This package provides extra tables, filters, and various other addons for OpenSMTPD to extend its functionality.

alot 0.11
Dependencies: gnupg@2.4.7 python-configobj@5.0.9 python-gpg@1.10.0 python-notmuch2@0.39 python-magic@0.4.27 python-twisted@24.11.0 python-urwid@3.0.3 python-urwidtrees@1.0.4
Channel: guix
Location: gnu/packages/mail.scm (gnu packages mail)
Home page: https://github.com/pazz/alot
Licenses: GPL 3+
Synopsis: Command-line MUA using Notmuch
Description:

Alot is a terminal-based mail user agent based on the Notmuch mail indexer. It is written in Python using the urwid toolkit and features a modular and command prompt driven interface to provide a full mail user agent (MUA) experience as an alternative to the Emacs mode shipped with Notmuch.

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