Sealbook
Sealbook / Open source / Machine learning y ciencia de datos

jmschrei/pomegranate

Fast, flexible and easy to use probabilistic modelling in Python.

machine-learningprobabilistic-graphical-modelspythonpytorch
GitHub ↗Sitio ↗

Licencia y mantenimiento

MIT es una licencia permisiva: uso comercial libre con atribución.

Último cambio de código hace 19 meses.

Proyectos similares

RepositorioEstrellasLenguajeLicenciaActividad
1keras-team/kerasDeep Learning for humans★ 64.4kPythonApache-2.0Activo
2ultralytics/ultralyticsUltralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose esti★ 62.6kPythonAGPL-3.0Activo
3Lightning-AI/pytorch-lightningPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.★ 31.4kPythonApache-2.0Activo
4fastai/fastaiThe fastai deep learning library★ 28.2kJupyter NotebookApache-2.0Activo
5kornia/kornia🐍 Geometric Computer Vision Library for Spatial AI★ 11.4kPythonApache-2.0Activo
6tensorflow/tensorflowAn Open Source Machine Learning Framework for Everyone★ 201.1kC++Apache-2.0Activo
7Comfy-Org/ComfyUIThe most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface. The fastest local inference engine in the w★ 138.4kPythonGPL-3.0Activo
8pytorch/pytorchTensors and Dynamic neural networks in Python with strong GPU acceleration★ 104.8kPythonOtherActivo