머신러닝 · GitHub

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.

: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.

Kedro는 프로덕션 환경에 적합한 데이터 과학을 위한 도구 모음입니다. 소프트웨어 엔지니어링 모범 사례를 적용해 재현 가능하고 유지 관리하기 쉬우며 모듈화된 데이터 엔지니어링 및 데이터 과학 파이프라인을 만들 수 있도록 지원합니다.

• 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

일본어 텍스트를 위한 광학 문자 인식(OCR) 도구이며, 주로 일본 만화를 대상으로 합니다.

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: 범용 지능을 위한 구조화된 데이터 모델링 역량을 개방하다 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. 🔥 🔥 🔥

BERT와 c-TF-IDF를 활용해 쉽게 해석할 수 있는 토픽을 만듭니다.

Open source tools for computational pathology - Nature BME