Meshroom — Node-based Visual Programming Toolbox
ノードベースのビジュアルプログラミングツールです。
ビジュアルプログラミングツール
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
17 / 50segmentation_models.pytorch — Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
セマンティックシーケンス分割モデルのライブラリです。
セマンティックシーケンス分割モデル
ml-agents — The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
Unityを使用してマシンラーニングエージェントを訓練して訓練できるツールです。
Unityでマシンラーニングエージェント
langextract — A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
LLMを使用して、自然言語処理における情報抽出を行うためのPythonライブラリです。
自然言語処理情報抽出
HIFI: A Highly Efficient Framework for Statistical Inference with Foundation Models
Foundation models provide powerful representations for unstructured data, such as text and images, and parameter-efficient fine-tuning (PEFT) makes their adaptation to downstream tasks increasingly…
deep-learning
learnopencv — Learn OpenCV : C++ and Python Examples
OpenCVを用いて画像処理の学習方法を紹介している。
OpenCVの学習
PhysTrace: Interpretable Temporal Evaluation of Physical Consistency in Video Generative Models
World action models increasingly rely on pretrained video models assumed to capture physical dynamics for prediction, planning, and action generation. Existing evaluations assess plausibility, probe…
nlp
Bridging the Data Gap: Source-Informed Task-Space Transport for Few-Shot Diffusion
Many deployments require a model to move rapidly from a data-rich source to a related target observed only sparsely. This is especially consequential where target data are difficult to collect, as in…
nlp
Reinforcing intra-operative tumour localisation with weak supervision from pre-operative appearances
Limited tumour visibility on intra-operative images complicates surgical navigation, including liver hepatocellular carcinoma (HCC) targeting on computed tomography (CT) imaging. This makes labelled…
nlp
What Comes Next and Why: Interpretable Next-Event Prediction with Neuro-Symbolic Rules
In real-world applications, being able to explain why a prediction is made is often as important - if not more so - than achieving high accuracy. However, existing methods for sequential event…
computer-vision
From Perpetrators' Digital Footprints to Behavioral Communities: An Ontology-Driven Framework for Bengali Cyberbullying Analysis--- FULL VERSION
Cyberbullying involves behavioral and contextual patterns beyond isolated abusive messages. However, existing approaches remain fragmented across content detection, semantic representation, and…
nlp
Morpheus-2.0: Multiscale Probabilistic Forecasting with Dual-Axis Attention
A universal forecaster is trained once and applied everywhere, so it must serve tasks whose schemas, forecast horizons, and temporal resolutions all differ. The number of targets and covariates…
computer-vision
Boundary Detection for High-Dimensional Point Clouds
We introduce two new methods for boundary detection in high-dimensional point cloud data, intended to work in situations with non-uniform density, high ambient dimension, and substantial noise. Our…
nlp
Spectral-Spatial Interpretation
Post-hoc image explanations usually show where a model looks using spatial heatmaps or indicate which channels matter using global channel scores. These separate views are limiting for multispectral…
nlp
First Mathematical Runtime Analyses of Evolutionary Multitask Multi-Objective Optimization
To facilitate the solving of complex problems, evolutionary multitask optimization is regarded as a promising technique due to its capacity for cross-task knowledge transfer. In contrast to empirical…
computer-vision
Multi-Agent Learning of Reactive Strategies in Iterated Games
Learning agents, whether humans or algorithms, adapt to one another rather than to a fixed environment. Selfish learning need not produce a good outcome for the group, especially when learners face a…
reinforcement-learning
Asymmetric Information in Dynamic Lending Games
We study a dynamic lending game with limited but reusable supply. Borrower arrivals and loan durations are stochastic.
computer-vision
Optimization Geometry of QAOA and Variational Quantum Algorithms
Variational quantum algorithms turn choices of Hamiltonian, ansatz, and parameterization into a classical nonconvex optimization problem. We study how this objective function can be visualized and…
computer-vision
Robust Optimization of Spring Design under Variable Manufacturing Tolerances
A reliable assessment of an optimizer robustness requires tracking controlled changes in parameters to identify sources of algorithmic weakness. Such an approach was applied to the problem of…
computer-vision
Deep Learning Methods in Neuroscience: From Modeling Molecular Mechanisms to Classifying States of Consciousness
A critical analysis of contemporary approaches to the study of conscious states. The review focuses on methods of classification, clustering, modeling of brain states under anesthesia and…
deep-learning
LukeNet: A lightweight CNN integrated with an XAI model for Smart acute lymphoblastic leukemia detection and management
Acute Lymphoblastic Leukemia (ALL) patients require early, accurate detection to enable timely treatment and effective patient management. A Convolutional Neural Network (CNN) is well-suited for…
deep-learning
A Confidence-Driven Evolutionary Algorithm for Noisy Optimization with Joint Chance Constraints
Many real-world optimization problems involve noisy objective evaluations and probabilistic constraints, particularly in the form of joint chance constraints, which are computationally expensive to…
computer-vision
SolarWM — Open data and scalable training for long-horizon video world models.
Open data and scalable training for long-horizon video world models.
deep-learning
OpenWorldLib — Unified Codebase for Advanced World Models.
OpenWorldLibは、進化する世界モデルを提供する統一されたコードベースです。
世界モデルを提供する