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

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.


python-thinc 8.3.4
Propagated dependencies: python-blis@1.2.1 python-catalogue@2.0.7 python-confection@0.1.5 python-cymem@2.0.6 python-murmurhash@1.0.10 python-numpy@2.3.1 python-packaging@25.0 python-preshed@3.0.6 python-pydantic@2.10.4 python-setuptools@80.9.0 python-srsly@2.5.1 python-wasabi@1.1.3
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://github.com/explosion/thinc
Licenses: Expat
Build system: pyproject
Synopsis: Functional take on deep learning
Description:

This package provides a functional take on deep learning, compatible with your favorite libraries.

kaldi-gstreamer-server 0-3.f79e204
Dependencies: gstreamer@1.26.3 gst-kaldi-nnet2-online@0-3.7888ae5 gst-plugins-base@1.26.3 gst-plugins-good@1.26.3 kaldi@0-2.01aadd7 python-wrapper@3.11.14 python-pygobject@3.50.0 python-pyyaml@6.0.2 python-tornado@6.4.2
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://github.com/alumae/kaldi-gstreamer-server
Licenses: FreeBSD
Build system: gnu
Synopsis: Real-time full-duplex speech recognition server
Description:

This is a real-time full-duplex speech recognition server, based on the Kaldi toolkit and the GStreamer framework and implemented in Python.

python-spacy 3.8.7
Propagated dependencies: python-catalogue@2.0.7 python-cymem@2.0.6 python-jinja2@3.1.2 python-langcodes@3.5.0 python-murmurhash@1.0.10 python-numpy@2.3.1 python-packaging@25.0 python-preshed@3.0.6 python-pydantic@2.10.4 python-requests@2.32.5 python-spacy-legacy@3.0.12 python-spacy-loggers@1.0.4 python-srsly@2.5.1 python-thinc@8.3.4 python-tqdm@4.67.1 python-typer@0.20.0 python-wasabi@1.1.3 python-weasel@0.4.1
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://spacy.io
Licenses: Expat
Build system: pyproject
Synopsis: Natural Language Processing (NLP) in Python
Description:

SpaCy is a library for advanced Natural Language Processing in Python and Cython. It comes with pretrained pipelines and currently supports tokenization and training for 70+ languages. It features state-of-the-art speed and neural network models for tagging, parsing, named entity recognition, text classification and more, multi-task learning with pretrained transformers like BERT, as well as a production-ready training system and easy model packaging, deployment and workflow management.

python-captum 0.8.0
Propagated dependencies: python-matplotlib@3.8.2 python-numpy@1.26.4 python-pytorch@2.9.0 python-tqdm@4.67.1
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://captum.ai
Licenses: Modified BSD
Build system: pyproject
Synopsis: Model interpretability for PyTorch
Description:

Captum is a model interpretability and understanding library for PyTorch. Captum contains general purpose implementations of integrated gradients, saliency maps, smoothgrad, vargrad and others for PyTorch models. It has quick integration for models built with domain-specific libraries such as torchvision, torchtext, and others.

openmm 8.3.1
Dependencies: python-wrapper@3.11.14
Propagated dependencies: python-numpy@1.26.4
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://github.com/openmm/openmm/
Licenses: Expat
Build system: cmake
Synopsis: Toolkit for molecular simulation
Description:

OpenMM is a toolkit for molecular simulation. It can be used either as a stand-alone application for running simulations, or as a library you call from your own code.

ocaml-mcl 12-068oasis4
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://github.com/fhcrc/mcl
Licenses: GPL 3
Build system: ocaml
Synopsis: OCaml wrappers around MCL
Description:

This package provides OCaml bindings for the MCL graph clustering algorithm.

python-geomloss 0.2.6
Propagated dependencies: python-numpy@1.26.4 python-pytorch@2.9.0
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://www.kernel-operations.io/geomloss/
Licenses: Expat
Build system: pyproject
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.

onnxruntime 1.22.0
Dependencies: abseil-cpp@20250127.1 boost@1.89.0 cpuinfo@0.0-5.b73ae6c dlpack@1.2 c++-gsl@4.2.0 date@3.0.1 eigen-for-onnxruntime@3.4.0-0.1d8b82b flatbuffers@23.5.26 googletest@1.17.0 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
Build system: cmake
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.

whisper-cpp 1.8.2
Dependencies: ffmpeg@8.0 openblas@0.3.30 sdl2@2.30.8 spirv-headers@1.4.321.0 spirv-tools@1.4.321.0 vulkan-headers@1.4.321.0 vulkan-loader@1.4.321.0
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://github.com/ggml-org/whisper.cpp/
Licenses: Expat
Build system: cmake
Synopsis: OpenAI's Whisper model in C/C++
Description:

This package is a high-performance inference of OpenAI's Whisper automatic speech recognition (ASR) model, implemented in plain C/C++ without dependencies, with

  • AVX intrinsics support for x86 architectures

  • VSX intrinsics support for POWER architectures

  • Mixed F16 / F32 precision

  • 4-bit and 5-bit integer quantization support

  • Zero memory allocations at runtime

  • Support for CPU-only inference

  • Efficient GPU support for NVIDIA

  • OpenVINO Support

  • C-style API

llama-cpp 0.0.0-b7126
Dependencies: curl@8.6.0 glslang@1.4.321.0 python-gguf@0.17.1 python-minimal@3.11.14 openblas@0.3.30 spirv-headers@1.4.321.0 spirv-tools@1.4.321.0 vulkan-headers@1.4.321.0 vulkan-loader@1.4.321.0
Propagated dependencies: python-numpy@1.26.4 python-pytorch@2.9.0 python-sentencepiece@0.2.1
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://github.com/ggml-org/llama.cpp
Licenses: Expat
Build system: cmake
Synopsis: Port of Facebook's LLaMA model in C/C++
Description:

This package provides a port to Facebook's LLaMA collection of foundation language models. It requires models parameters to be downloaded independently to be able to run a LLaMA model.

python-gpytorch 1.14.2
Propagated dependencies: python-jaxtyping@0.3.3 python-linear-operator@0.6 python-mpmath@1.3.0 python-scikit-learn@1.7.0 python-scipy@1.12.0
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://gpytorch.ai
Licenses: Expat
Build system: pyproject
Synopsis: Implementation of Gaussian Processes in PyTorch
Description:

GPyTorch is a Gaussian process library implemented using PyTorch.

python-cleanlab 2.7.1
Propagated dependencies: python-numpy@1.26.4 python-pandas@2.2.3 python-scikit-learn@1.7.0 python-termcolor@2.5.0 python-tqdm@4.67.1
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://cleanlab.ai
Licenses: AGPL 3+
Build system: pyproject
Synopsis: Automatically find and fix dataset issues
Description:

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.

python-pynndescent 0.5.13
Propagated dependencies: python-importlib-metadata@8.7.0 python-joblib@1.5.2 python-llvmlite@0.44.0 python-numba@0.61.0 python-scikit-learn@1.7.0 python-scipy@1.12.0
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://github.com/lmcinnes/pynndescent
Licenses: FreeBSD
Build system: pyproject
Synopsis: Nearest neighbor descent for approximate nearest neighbors
Description:

PyNNDescent provides a Python implementation of Nearest Neighbor Descent for k-neighbor-graph construction and approximate nearest neighbor search.

oneapi-dnnl 3.5.3
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://github.com/oneapi-src/oneDNN
Licenses: ASL 2.0
Build system: cmake
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.

vowpal-wabbit 8.5.0
Dependencies: boost@1.89.0 zlib@1.3.1
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://vowpalwabbit.org
Licenses: Modified BSD
Build system: gnu
Synopsis: Fast machine learning library for online learning
Description:

Vowpal Wabbit is a machine learning system with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

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
Build system: pyproject
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-dlib 20.0
Dependencies: ffmpeg@8.0 giflib@5.2.1 libjpeg-turbo@2.1.4 libjxl@0.11.1 libpng@1.6.39 libwebp@1.3.2 libx11@1.8.12 openblas@0.3.30 pybind11@2.13.6 zlib@1.3.1
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: http://dlib.net
Licenses: Boost 1.0
Build system: pyproject
Synopsis: Toolkit for making machine learning and data analysis applications in C++
Description:

Dlib is a modern C++ toolkit containing machine learning algorithms and tools. It is used in both industry and academia in a wide range of domains including robotics, embedded devices, mobile phones, and large high performance computing environments.

python-autograd-gamma 0.5.0
Propagated dependencies: python-autograd@1.8.0 python-scipy@1.12.0
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://github.com/CamDavidsonPilon/autograd-gamma
Licenses: Expat
Build system: pyproject
Synopsis: Autograd-compatible approximations to the gamma family of functions
Description:

This package provides Autograd-compatible approximations to the gamma family of functions.

python-libsvm 336
Propagated dependencies: libsvm@336 python-scipy@1.12.0
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://www.csie.ntu.edu.tw/~cjlin/libsvm/
Licenses: Modified BSD
Build system: pyproject
Synopsis: Python bindings of libSVM
Description:

LIBSVM is a machine learning library for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification.

python-pytorch 2.9.0
Dependencies: asmjit@0.0.0-2.cfc9f81 brotli@1.0.9 clog@0.0-5.b73ae6c concurrentqueue@1.0.3 cpp-httplib@0.20.0 eigen@3.4.0 flatbuffers@24.12.23 fmt@9.1.0 fp16@0.0-1.0a92994 fxdiv@0.0-1.63058ef gemmlowp@0.1-2.16e8662 gloo@0.0.0-4.54cbae0 googletest@1.12.1 googlebenchmark@1.9.1 libuv@1.44.2 miniz@pytorch-2.7.0 oneapi-dnnl@3.5.3 openblas@0.3.30 openmpi@4.1.6 openssl@3.0.8 pthreadpool@0.1-3.560c60d protobuf@3.21.9 pybind11@2.13.6 qnnpack-pytorch@pytorch-2.9.0 rdma-core@60.0 sleef@3.6.1 tensorpipe@0-0.bb1473a vulkan-headers@1.4.321.0 vulkan-loader@1.4.321.0 vulkan-memory-allocator@3.3.0 xnnpack@0.0-4.51a0103 zlib@1.3.1 zstd@1.5.6
Propagated dependencies: cpuinfo@0.0-5.b73ae6c onnx@1.17.0 onnx-optimizer@0.3.19 python-astunparse@1.6.3 python-click@8.1.8 python-filelock@3.16.1 python-fsspec@2025.9.0 python-future@1.0.0 python-jinja2@3.1.2 python-networkx@3.4.2 python-numpy@1.26.4 python-opt-einsum@3.3.0 python-optree@0.14.0 python-packaging@25.0 python-psutil@7.0.0 python-pyyaml@6.0.2 python-requests@2.32.5 python-sympy@1.13.3 python-typing-extensions@4.15.0
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://pytorch.org/
Licenses: Modified BSD
Build system: python
Synopsis: Python library for tensor computation and deep neural networks
Description:

PyTorch is a Python package that provides two high-level features:

  • tensor computation (like NumPy) with strong GPU acceleration;

  • deep neural networks (DNNs) built on a tape-based autograd system.

You can reuse Python packages such as NumPy, SciPy, and Cython to extend PyTorch when needed.

Note: currently this package does not provide GPU support.

python-pyro-ppl 1.9.1
Propagated dependencies: python-numpy@1.26.4 python-opt-einsum@3.3.0 python-pyro-api@0.1.2 python-pytorch@2.9.0 python-tqdm@4.67.1
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://pyro.ai
Licenses: ASL 2.0
Build system: pyproject
Synopsis: Python library for probabilistic modeling and inference
Description:

This package provides a Python library for probabilistic modeling and inference.

python-spacy-loggers 1.0.4
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://github.com/explosion/spacy-loggers
Licenses: Expat
Build system: pyproject
Synopsis: Logging utilities for SpaCy
Description:

This package provides logging utilities for the SpaCy natural language processing framework.

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Total results: 69264