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#machine-learning

Todos los repositorios del registro público que llevan esta etiqueta, procedente de sus topics de GitHub o de las palabras clave que publican sus registros de paquetes. La salud se mide con la misma metodología versionada que el resto del registro.

635 registros
Con la etiqueta «machine-learning»Ordenado por índice de salud
Go
90Excelenteíndice de salud
gorse-io/gorse
AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding
Go · Assembly★ 980928 ago 2026
Apache-2.028 ago 2026 · métricas 2.10.0
PyPI
90Excelenteíndice de salud
kyegomez/swarms
The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai
Python★ 7172↓ 14.4K/mes15 sept 2026
Apache-2.015 sept 2026 · métricas 2.10.0
PyPI
90Excelenteíndice de salud
ndif-team/nnsight
The nnsight package enables interpreting and manipulating the internals of deep learned models.
Python★ 1125↓ 20.2K/mes20 oct 2026
MIT20 oct 2026 · métricas 2.10.0
PyPI · crates.io
90Excelenteíndice de salud
onuralpszr/trackforge
Unified, high-performance computer vision tracking library
Rust★ 33↓ 7303/mes18 sept 2026
MIT18 sept 2026 · métricas 2.10.0
PyPI
90Excelenteíndice de salud
openlayer-ai/openlayer-python
The official Python library for Openlayer, the Continuous Model Improvement Platform for AI. 📈
Python★ 18↓ 129.4K/mes16 sept 2026
Apache-2.016 sept 2026 · métricas 2.10.0
PyPI
90Excelenteíndice de salud
py-why/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Jupyter Notebook · Python★ 4817↓ 348.7K/mes18 oct 2026
Licencia propia18 oct 2026 · métricas 2.10.0
PyPI
90Excelenteíndice de salud
rasbt/mlxtend
A library of extension and helper modules for Python's data analysis and machine learning libraries.
Python★ 5174↓ 1.1M/mes17 sept 2026
Licencia propia17 sept 2026 · métricas 2.10.0
NuGet
90Excelenteíndice de salud
shimat/opencvsharp
OpenCV wrapper for .NET
C# · C++★ 61114 oct 2026
Apache-2.04 oct 2026 · métricas 2.10.0
PyPI
90Excelenteíndice de salud
sktime/skbase
Base classes for creating scikit-learn-like parametric objects, and tools for working with them.
Python★ 4115 sept 2026
BSD-3-Clause15 sept 2026 · métricas 2.10.0
PyPI
89Excelenteíndice de salud
CVHub520/X-AnyLabeling
X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.
Python★ 10.7K↓ 2623/mes15 oct 2026
GPL-3.015 oct 2026 · métricas 2.10.0
PyPI
89Excelenteíndice de salud
DigitalSlideArchive/HistomicsTK
A Python toolkit for pathology image analysis algorithms.
Python★ 490↓ 23.1K/mes15 oct 2026
Apache-2.015 oct 2026 · métricas 2.10.0
—
89Excelenteíndice de salud
EnzymeAD/Enzyme
High-performance automatic differentiation of LLVM and MLIR.
LLVM · C++★ 169111 sept 2026
Licencia propia11 sept 2026 · métricas 2.10.0
PyPI
89Excelenteíndice de salud
GAMS-dev/gamspy
Fast algebraic modeling and mathematical optimization in Python
Python★ 136↓ 3166/mes15 oct 2026
Licencia propia15 oct 2026 · métricas 2.10.0
PyPI
89Excelenteíndice de salud
feature-engine/feature_engine
Feature engineering and selection open-source Python library compatible with sklearn.
Python★ 228017 sept 2026
BSD-3-Clause17 sept 2026 · métricas 2.10.0
PyPI
89Excelenteíndice de salud
ggml-org/ggml
Tensor library for machine learning
C++ · C★ 15.2K27 ago 2026
MIT27 ago 2026 · métricas 2.10.0
PyPI
89Excelenteíndice de salud
gunthercox/ChatterBot
ChatterBot is a machine learning, conversational dialog engine for creating chat bots
Python★ 14.5K↓ 8117/mes25 ago 2026
BSD-3-Clause25 ago 2026 · métricas 2.10.0
PyPI · npm
89Excelenteíndice de salud
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
C++ · Python★ 6944↓ 160.2K/mes17 sept 2026
MIT17 sept 2026 · métricas 2.10.0
PyPI · Maven
89Excelenteíndice de salud
logicalclocks/hopsworks-api
Python SDK to interact with the Hopsworks API
Python · Java★ 16↓ 72.8K/mes19 oct 2026
Apache-2.019 oct 2026 · métricas 2.10.0
Maven
89Excelenteíndice de salud
optimatika/ojAlgo
oj! Algorithms - Open Source Java library for mathematics, linear algebra and optimisation. Pure Java, zero dependencies: fast matrices plus LP, QP and MIP solvers.
Java★ 50520 sept 2026
MIT20 sept 2026 · métricas 2.10.0
crates.io
89Excelenteíndice de salud
paiml/aprender
Next Generation Machine Learning, Statistics and Deep Learning in PURE Rust
Rust · HTML★ 120↓ 14.4K/mes14 sept 2026
MIT14 sept 2026 · métricas 2.10.0
Go · npm
89Excelenteíndice de salud
photoprism/photoprism
AI-Powered Photos App 🌈💎✨
Go · JavaScript★ 40.2K16 sept 2026
Licencia propia16 sept 2026 · métricas 2.10.0
PyPI
89Excelenteíndice de salud
qualcomm/ai-hub-models
Qualcomm® AI Hub Models is our collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
Python★ 1233↓ 6732/mes21 oct 2026
BSD-3-Clause21 oct 2026 · métricas 2.10.0
PyPI
89Excelenteíndice de salud
sdv-dev/RDT
A library of Reversible Data Transforms
Python★ 135↓ 100.4K/mes15 oct 2026
Licencia propia15 oct 2026 · métricas 2.10.0
PyPI
89Excelenteíndice de salud
skops-dev/skops
skops is a Python library helping you share your scikit-learn based models and put them in production
Python★ 525↓ 21.3M/mes27 ago 2026
MIT27 ago 2026 · métricas 2.10.0
PyPI
89Excelenteíndice de salud
spotify/pedalboard
🎛 🔊 A Python library for audio.
C++ · Python★ 631017 sept 2026
GPL-3.017 sept 2026 · métricas 2.10.0
PyPI
89Excelenteíndice de salud
thomaspinder/GPJax
Gaussian processes in JAX and Equinox.
Python★ 665↓ 8632/mes19 sept 2026
MIT19 sept 2026 · métricas 2.10.0
PyPI
89Excelenteíndice de salud
tslearn-team/tslearn
The machine learning toolkit for time series analysis in Python
Python★ 3177↓ 274.8K/mes17 sept 2026
BSD-2-Clause17 sept 2026 · métricas 2.10.0
PyPI
89Excelenteíndice de salud
urchade/GLiNER
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts)
Python★ 3734↓ 660.9K/mes17 sept 2026
Apache-2.017 sept 2026 · métricas 2.10.0
—
88Excelenteíndice de salud
SciML/ReservoirComputing.jl
Reservoir computing utilities for scientific machine learning (SciML)
Julia★ 2329 sept 2026
MIT9 sept 2026 · métricas 2.10.0
NuGet
88Excelenteíndice de salud
SciSharp/NumSharp
High Performance Computation for N-D Tensors in .NET, identical API to NumPy.
C#★ 148222 oct 2026
Apache-2.022 oct 2026 · métricas 2.10.0