Skip to content
Projektkategorien

Maschinelles Lernen · GitHub

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

Nützliche GitHub-Projekte

7,177 Projekte

InterDiff

Sirui-Xu

286Sterne
InterDiff preview

[ICCV 2023] Official PyTorch implementation of the paper "InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion"

Owlyshield

SitinCloud

437Sterne
Owlyshield preview

Owlyshield is an EDR framework designed to safeguard vulnerable applications from potential exploitation (C&C, exfiltration and impact).

  • Advanced novelty detection with autoencoders (commercial version),
  • Ransomware protection in real-time on Windows using XGBoost,
30Sterne
AgeGenderPrediction preview

Two-stage deep learning pipeline: YOLOv5 face detection plus a CNN (ResNet-18 / InceptionResNetV1) for age-group and gender prediction on images, video, and webcam.

Maschinelles LernenJupyter NotebookGPL-3.0GitHub

skops

skops-dev

533Sterne

skops is a Python library helping you share your scikit-learn based models and put them in production

644Sterne

基于Stable Diffusion优化的AI绘画模型。支持输入中英文文本,可生成多种现代艺术风格的高质量图像。| An optimized text-to-image model based on Stable Diffusion. Both Chinese and English text inputs are available to generate images. The model can generate high-quality images in several modern art styles.

nano-vllm-v1

slwang-ustc

104Sterne

Nano vLLM with vLLM v1's request scheduling strategy and chunked prefill

  • 🚀 Fast inference - Comparable online inference speeds and offline throughput performance to vLLM v1.
  • 📖 Readable codebase - Clean implementation in ~ 1,200 lines of Python code

smartcore

smartcorelib

980Sterne
smartcore preview

A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.

  • Broad algorithm coverage: linear models, tree-based methods, ensembles, SVMs, neighbors, clustering, decomposition, and preprocessing.
  • Strong linear algebra traits with optional ndarray integration for users who prefer array-first workflows.