ライブラリ

Official SDKs for Claude API in Python and TypeScript. Provides type-safe access to Claude models with streaming support.

Armadillo is a high-quality linear algebra library for C++ with MATLAB-like syntax. It supports dense and sparse matrices with efficient computations. Used in scientific computing and ML for matrix operations.

AutoGen Agents SDK from Microsoft enables building conversational multi-agent systems with LLMs. It supports complex workflows and tool integration in a modular way.

AutoGluon is an AutoML library for image, text, tabular, and time-series data. It provides state-of-the-art performance with minimal code. It supports multi-modal learning.

Caffe is a fast open-source deep learning framework focused on speed and modularity for image classification and segmentation. Written in C++, it supports expression, speed, and modularity for convolutional neural networks. Caffe is optimized for research and industry deployment.

CatBoost is a gradient boosting toolkit developed by Yandex. It handles categorical features natively and reduces overfitting with ordered boosting.

Chainer is a flexible deep learning framework with dynamic computation graphs for Python. It supports define-by-run approach for intuitive model building. Merged into other projects but useful for prototyping.

ConvNetJS is a JavaScript library for training deep learning models in the browser without GPUs. It supports convolutional networks and image processing. Great for educational demos and web-based ML.

Deeplearning4j (DL4J) is an open-source deep learning library for Java with JVM support for Scala and Kotlin. It integrates with Hadoop and Spark for distributed computing. Suitable for enterprise-scale neural networks.

DeepSpeed is a deep learning optimization library by Microsoft for training and inference of large models. It enables efficient distributed training with ZeRO optimizer and model parallelism.

Detectron2 is Facebook's next-generation library for object detection and segmentation. It provides state-of-the-art models with modular design for research and production.

Diffusers is a Hugging Face library for state-of-the-art diffusion models. It supports text-to-image, image-to-image, and audio generation with modular pipelines.