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機械学習 · GitHub

モデルの学習・評価・推論に使うフレームワークを探し、注目度を比較できます。

便利なGitHubプロジェクト

4,743 プロジェクト

Any3R

Jingong-Chen

57スター+224時間
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.
220スター+224時間
Awesome-AI4AI preview

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

kedro-org

11,053スター+224時間
kedro preview

Kedroは、本番環境で利用できるデータサイエンスのためのツールボックスです。ソフトウェアエンジニアリングのベストプラクティスを活用し、再現性、保守性、モジュール性に優れたデータエンジニアリングおよびデータサイエンスのパイプラインを構築できます。

  • 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.

Muon

KellerJordan

2,938スター+224時間

Muonは、ニューラルネットワークの隠れ層向けのオプティマイザーです。

manga-ocr

kha-white

2,837スター+224時間
manga-ocr preview

日本語テキストのためのOCRです。主に日本の漫画を対象としています。

機械学習PythonApache-2.0GitHub

yomitoku

kotaro-kinoshita

1,702スター+224時間
yomitoku preview

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.

LettuceDetect

KRLabsOrg

624スター+224時間
LettuceDetect preview

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.
989スター+224時間
vectordb-recipes preview

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

機械学習Jupyter NotebookApache-2.0GitHub

lc0

LeelaChessZero

3,280スター+224時間
lc0 preview

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

lightly-train

lightly-ai

1,734スター+224時間
lightly-train preview

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
機械学習PythonAGPL-3.0GitHub

LimiX

limix-ldm-ai

4,414スター+224時間
LimiX preview

LimiX:汎用知能のための構造化データモデリング能力を解き放つ https://arxiv.org/abs/2609.17488

deepxde

lululxvi

4,506スター+224時間
deepxde preview

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.
機械学習PythonLGPL-2.1GitHub

RT-DETR

lyuwenyu

5,665スター+224時間
RT-DETR preview

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

機械学習PythonApache-2.0GitHub

BERTopic

MaartenGr

7,956スター+224時間
BERTopic preview

BERTとc-TF-IDFを活用して、解釈しやすいトピックを作成します。

CLAM

mahmoodlab

1,773スター+224時間
CLAM preview

Open source tools for computational pathology - Nature BME

機械学習PythonGPL-3.0GitHub

gust

marciok

393スター+224時間
gust preview

A Task-Based Workflow Orchestration Engine

  • Task orchestration with Cron-style scheduling and dependency-aware DAGs via the Gust DSL.
  • YAML and Shell DAG support for orchestrating shell commands and scripts.