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Maschinelles Lernen · GitHub

Finde Frameworks zum Trainieren, Bewerten und Ausführen von Modellen und vergleiche das Community-Interesse.

Nützliche GitHub-Projekte

7,206 Projekte
2,329Sterne+1in 24h

A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.

PythonPark

Jack-Cherish

11,924Sterne+1in 24h
PythonPark preview

Python 开源项目之「自学编程之路」,保姆级教程:AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。

ecco

jalammar

2,108Sterne+1in 24h
ecco preview

Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).

  • Support for a wide variety of language models (GPT2, BERT, RoBERTA, T5, T0, and others) [notebook & instructions for adding more models].
  • Ability to add your own local models (if they're based on Hugging Face pytorch models).
Maschinelles LernenJupyter NotebookBSD-3-ClauseGitHub

deepdow

jankrepl

1,201Sterne+1in 24h
deepdow preview

Portfolio optimization with deep learning.

  • all layers built on torch and fully differentiable
  • integrates differentiable convex optimization (cvxpylayers)

vits

jaywalnut310

7,905Sterne+1in 24h
vits preview

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

497Sterne+1in 24h
RecSys-Industrial-Book preview

《推荐系统:工业架构与核心算法》AI Native 书稿|章节 PDF、知识地图与本地学习 Agent, 网址:https://jhljx.github.io/RecSys-Industrial-Book/

transferlearning

jindongwang

14,388Sterne+1in 24h

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Any3R

Jingong-Chen

58Sterne+1in 24h
Any3R preview

Any3R: Feedforward 3D Reconstruction from Any Camera Type — pinhole, fisheye beyond 180°, 360° panoramas, or any mix, in one forward pass

  • One model for every central camera. Thirteen camera models are built in (pinhole, Brown–Conrady, Kannala–Brandt, equidistant, equisolid, stereographic, FOV, MEI, double sphere, EUCM, cylindrical, equirectangular and equirectangular windows), and any other central camera works through its ray field.
  • Mixed cameras in one scene. Views from different cameras, with different sizes and fields of view, are reconstructed together into one consistent point cloud.

CoreML-Models

john-rocky

1,896Sterne+1in 24h
CoreML-Models preview

Core ML model zoo for iOS/macOS — PyTorch models converted to ready-to-use .mlpackage, each with a conversion script and SwiftUI sample app. Sibling repos cover Apple's Core AI framework (iOS/macOS 27) and on-device LLMs.