Maschinelles Lernen · GitHub

:octocat: Machine Learning for Cyber Security

Updated weekly — until humanity achieves AI4AI. 965 curated papers across Benchmarks, Harness Design, and Model Design — from long-horizon agents to recursive self-improvement. Citation rankings, GitHub stars, and source-verified weekly news.

Kedro ist eine Tool-Sammlung für Data Science in produktionsreifen Umgebungen. Mithilfe bewährter Methoden der Softwareentwicklung unterstützt es dich dabei, reproduzierbare, wartbare und modulare Pipelines für Data Engineering und Data Science zu erstellen.

• Project Template - A standard, modifiable and easy-to-use project template based on Cookiecutter Data Science.
• Data Catalog - A series of lightweight data connectors used to save and load data across many different file formats and file systems, including local and network file systems, cloud object stores, and HDFS. The Data Catalog also includes data and model versioning for file-based systems.

Diagrams for visualizing neural network architecture

Texterkennung (OCR) für japanische Texte, mit Schwerpunkt auf japanischen Manga.

Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.

YomiTokuはAIを活用した日本語文書解析エンジンを提供するPythonパッケージです。 Yomitoku is an AI-powered document image analysis package designed specifically for the Japanese language.

Span-level grounding verification for RAG, code, and tool-grounded AI outputs.

• Returns exact character spans instead of only an answer-level clean/flagged verdict.
• Supports RAG prose, multilingual QA, code-agent answers, and developer-tool output.

Resource, examples & tutorials for multimodal AI, RAG and agents using vector search and LLMs

Open source neural network chess engine with GPU acceleration and broad hardware support.

All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.

• Python, Command Line, and Docker support
• Built for high performance including multi-GPU and multi-node support

LimiX: Modellierungsfähigkeiten für strukturierte Daten für allgemeine Intelligenz erschließen https://arxiv.org/abs/2609.17488

Vector (and Scalar) Quantization, in Pytorch

A library for scientific machine learning and physics-informed learning

• enables the user code to be compact, resembling closely the mathematical formulation.
• 5 types of boundary conditions (BCs): Dirichlet, Neumann, Robin, periodic, and a general BC, which can be defined on an arbitrary domain or on a point set; and approximate distance functions for hard constraints.

[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥

Nutzt BERT und c-TF-IDF, um leicht interpretierbare Themen zu erstellen.

Open source tools for computational pathology - Nature BME