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Aprendizaje automático · GitHub

Explora herramientas para entrenar, evaluar y ejecutar modelos, y compara el interés de la comunidad.

Proyectos útiles de GitHub

4,345 proyectos

GFPGAN

TencentARC

37,703estrellas+4in 24h
GFPGAN preview

GFPGAN tiene como objetivo desarrollar algoritmos prácticos para la restauración facial en entornos reales.

Aprendizaje automáticoPythonGitHub

unstructured

Unstructured-IO

15,701estrellas+4in 24h

Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.

Aprendizaje automáticoHTMLApache-2.0GitHub

Fair-Code

yakew7

71estrellas+4in 24h
Fair-Code preview

Auditing algorithmic bias in criminal justice, hiring, lending, healthcare, welfare, and tenant screening: 7 open-source audits, measurable fairness gaps, and concrete fixes.

Aprendizaje automáticoHTMLMITGitHub

HivisionIDPhotos

Zeyi-Lin

21,712estrellas+4in 24h
HivisionIDPhotos preview

⚡️HivisionIDPhotos: una herramienta ligera y eficiente para crear fotos de identificación con IA. Un algoritmo ligero de IA para crear fotos de identificación.

Aprendizaje automáticoPythonApache-2.0GitHub

FinGPT

AI4Finance-Foundation

21,542estrellas+3in 24h
FinGPT preview

FinGPT: ¡modelos de lenguaje de gran escala financieros de código abierto! Revoluciona 🔥 Publicamos el modelo entrenado en HuggingFace.

Aprendizaje automáticoJupyter NotebookMITGitHub

OpenTranscribe

attevon-llc

109estrellas+3in 24h
OpenTranscribe preview

Self-hosted AI-powered transcription platform with speaker diarization, search, and collaboration features. Built with Svelte, FastAPI, and Docker for easy deployment.

  • Time-Stamped Comments: Add annotations at specific moments
  • User Management: Role-based access control (user / admin / super admin) with personalized settings
Aprendizaje automáticoPythonAGPL-3.0GitHub

oasis

camel-ai

5,407estrellas+3in 24h
oasis preview

🏝️ OASIS: simulaciones abiertas de interacción social con un millón de agentes.

  • Support Multi Modal Platform
Aprendizaje automáticoPythonApache-2.0GitHub

stable-baselines3

DLR-RM

13,996estrellas+3in 24h

Versión de Stable Baselines para PyTorch, con implementaciones fiables de algoritmos de aprendizaje por refuerzo.

  • State of the art RL methods - :heavy_check_mark:
  • Documentation - :heavy_check_mark:
Aprendizaje automáticoPythonMITGitHub

TartarusSolver

glcoder

53estrellas+3in 24h

Move hints for Tartarus Prison in Torchlight: Infinite: an overlay that reads the screen and the game's log and solves the board

  • The game's rules: all 31 Torture Instruments, the 17 Prison Incidents, the Objectives, the run themes (Tyranny, Opulence, Iron Law, Cage Fight), Rat Nests, Tusk and Prey marks, Scratch Marks.
  • The solver: a determinized Monte Carlo search (what's hidden behind doors is drawn again for every playout: no peeking): the playouts' moves by a small policy network trained on the search's own choices, a small value network at their horizon.
Aprendizaje automáticoC#MITGitHub

tuning_playbook

google-research

30,430estrellas+3in 24h
tuning_playbook preview

Guía práctica para maximizar sistemáticamente el rendimiento de los modelos de aprendizaje profundo.

  • Quasi-random search (based on low-discrepancy sequences) is our preference over fancier black box optimization tools when used as part of an iterative tuning process intended to maximize insight into the tuning problem (what we refer to as the "exploration phase"). Bayesian optimization and similar tools are more appropriate for the exploitation phase.
  • Quasi-random search based on randomly shifted low-discrepancy sequences can be thought of as "jittered, shuffled grid search", since it uniformly, but randomly, explores a given search space and spreads out the search points more than random search.
Aprendizaje automáticoGitHub