CoreNLP — CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
CoreNLPはJavaで開発されたNLPツールのセットであり、分割、文分割、名詞認識、パーシング、コorefence、感情分析などを行える。
分析
MLINFO COLLECTION
外観検査・欠陥検出
製品画像、顕微鏡画像、表面欠陥を対象に、分類・検出・セグメンテーションを選ぶための導線です。
関連する論文・実装
10 / 50ultralytics — Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
ultralyticsはYOLO(You Only Look Once)の技術を使用したオブジェクト検出ライブラリで、高い精度を提供している。
オブジェクト検出
qdrant — Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
このリポジトリでは、データとAIアルゴリズムを製品化するためのプラットフォームであるTaipyを提供しています。
AIアプリケーションを製品化するためのプラットフォーム
label-studio — Label Studio is a multi-type data labeling and annotation tool with standardized output format
データラベル化と注釈化を行うためのツールです。
データラベル化ツール
stanza — Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
stanzaは、さまざまな言語を処理するための言語処理用ライブラリです。
言語処理用ライブラリを提供する
From extreme weather to agricultural consequences with agentic AI
Extreme weather is forecast days ahead, yet its consequences for agriculture remain hard to predict: a forecast says where a storm will strike, not which crops will suffer or how much is at risk, and…
computer-vision
world2vec: Mechanistic world models through latent dynamics learning
World models can achieve strong control performance without faithfully capturing the dynamics of their environment, limiting their potential for mechanistic interpretability and scientific discovery.…
reinforcement-learning
Human--AI Interactions as First-Class Data: A Formal Interaction Model and Runtime for Explainable AI Collaboration
AI assistants are increasingly embedded in computational notebooks, scientific workflows, software engineering tools, and learning systems, yet human-AI interactions are often treated as transient…
reinforcement-learning
Hardware-Aware Model Inversion in Memristive Spiking Neural Networks
Hardware-accelerated spiking neural networks (SNNs) implemented on memristive crossbar arrays offer significant gains in energy efficiency, while device variability and analog noise are sometimes…
computer-vision
Controlling Continuum Robot Shape in Enclosed Space with Embedded Sensing using IMU and Actuator Feedback
Controlling continuum robots' shape to operate in confined, enclosed environments is challenging, since it cannot rely on external observation. Existing embedded shape sensing methods, although they…
computer-vision
BASILISC: Bayesian Alignment of Siamese-Integrated Latents for Inferring Single-cell Correspondence
Single-cell assays study the genome one cell at a time. Unimodal assays measure one molecular layer, the newer multimodal assays measure several.
computer-vision
Modular Bayesian Foundation Models: Bayesian time series encoders for OOD detection, routing and forecasting
Industrial systems continuously generate time series that vary in sampling frequency, scale, dynamics, and operating regime. Consequently a single time-series foundation model may not be able to…
deep-learning
Self-Supervised Doppler-Guided RF Odometry
Radio-frequency (RF) sensing enables robot ego-motion estimation in darkness, smoke, and fog, yet RF odometry remains challenging because multipath and moving reflectors make cross-frame matching…
computer-vision
Agentic AI Reasoning and Learned Sampling for Task-Aware Projection Selection in Sparse-View CT: Predicting Hemodynamics
Sparse-view computed tomography (CT) reduces the number of acquired projections, but conventional sampling strategies are designed primarily for image reconstruction rather than for downstream…
nlp
TreasuryQA Bench: Can AI Agents Work an Archive of Scanned Financial Records?
Organisations keep decades of financial records as scanned PDFs on shared drives, and AI agents can now reach those drives through Model Context Protocol (MCP) servers. Existing benchmarks do not…
nlp
Lev-3B: A Data Recipe for Compact Probabilistic Log Decision Models
Many log-analysis tasks involve choosing among known options, such as detecting anomalous sessions or identifying attack techniques, and benefit from calibrated probabilities. We present Lev-3B, an…
machine-learning
V-CAPE: Visual Consistency Assessment for Product Image Editing
Recent advances in generative image editing enable complex transformations such as background replacement, object manipulation, and pose adjustment from natural language instructions. However,…
computer-vision
Data Scaling Laws in Stereo Matching: From In-domain Fitting to Cross-domain Generalization
In the era of large models, stereo matching is developing towards generalizable foundation models trained on million-scale synthetic images. However, how model performance scales up with synthetic…
deep-learning
Similar Scores, Opposite Failures: Human Correction as an Instrument for Video Caption Evaluation
Video captioning models are increasingly evaluated with metrics designed for single-sentence image captions. We test whether those metrics recover human judgement on dense, multi-window video…
computer-vision
Residual Motion Splatting for Continuous Space-Time Video Super-Resolution
Continuous space-time video super-resolution produces a high-resolution, highframe-rate video from a low-resolution, low-frame-rate one at arbitrary spatial scales and temporal instants. Classical…
computer-vision
Structure-retained low-rank adapters for weather synthesis
Real-world deployment of computer vision models, particularly in outdoor scenarios, is often limited by environmental interferences, such as adverse weather. Improving model robustness across weather…
nlp
Extremely Sparse-View Computed Tomography from 2D Projections via Pose-Aware Diffusion Priors
Extremely sparse-view computed tomography (xSV-CT) is critical when scanning time, motion, or radiation tolerance limits each scan to only a few projections. In many such scenarios, the same…
computer-vision
BudSplat: Feed-forward 3D Gaussian Splatting under a Rendering Budget
Feed-forward 3D Gaussian Splatting has recently emerged as a promising alternative to per-scene optimization, enabling fast novel view synthesis by predicting Gaussian primitives directly from input…
deep-learning
Learning Visuomotor Quadrotor Flight Through Dynamic Narrow Gaps via Differentiable Simulation
Threading a quadrotor through a moving narrow gap is a demanding test of agile flight, requiring centimeter-level spatial alignment and precise temporal execution. We address this challenge using a…
deep-learning