github.com/SeadexGmbH/yasmine
SeadexGmbH/yasmine
yasmine - the C++ UML state machine framework (⭐ 38)
arxiv.org/abs/2205.13284v1
YASMIN: Yet Another State MachINe library for ROS 2
State machines are a common mechanism for defining behaviors in robots, defining them based on identifiable stages. There are several libraries available for easing the implementation of state machines in ROS 1, as SMACH or SMACC, but there are fewer...
github.com/uleroboticsgroup/yasmin
uleroboticsgroup/yasmin
YASMIN (Yet Another State MachINe) (⭐ 243)
arxiv.org/abs/1710.01292v1
Visual speech recognition: aligning terminologies for better understanding
We are at an exciting time for machine lipreading. Traditional research stemmed from the adaptation of audio recognition systems. But now, the computer vision community is also participating. This joining of two previously disparate areas with differ...
arxiv.org/abs/1710.01297v1
Visual gesture variability between talkers in continuous visual speech
Recent adoption of deep learning methods to the field of machine lipreading research gives us two options to pursue to improve system performance. Either, we develop end-to-end systems holistically or, we experiment to further our understanding of th...
arxiv.org/abs/1907.07212v2
Helen: Maliciously Secure Coopetitive Learning for Linear Models
Many organizations wish to collaboratively train machine learning models on their combined datasets for a common benefit (e.g., better medical research, or fraud detection). However, they often cannot share their plaintext datasets due to privacy con...
arxiv.org/abs/2201.04368v1
Preventing Manifold Intrusion with Locality: Local Mixup
Mixup is a data-dependent regularization technique that consists in linearly interpolating input samples and associated outputs. It has been shown to improve accuracy when used to train on standard machine learning datasets. However, authors have poi...
arxiv.org/abs/2305.17315v1
Automatic Roof Type Classification Through Machine Learning for Regional Wind Ri…
Roof type is one of the most critical building characteristics for wind vulnerability modeling. It is also the most frequently missing building feature from publicly available databases. An automatic roof classification framework is developed herein...
github.com/vmspereira/SI
vmspereira/SI
Implementation of some of the main Machine Learning algorithms using numpy. (⭐ 8)
arxiv.org/abs/2509.19157v1
Quantum Autoencoder: An efficient approach to quantum feature map generation
Quantum machine learning methods often rely on fixed, hand-crafted quantum encodings that may not capture optimal features for downstream tasks. In this work, we study the power of quantum autoencoders in learning data-driven quantum representations....
arxiv.org/abs/2210.01742v4
CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Lear…
Handling out-of-distribution (OOD) samples has become a major stake in the real-world deployment of machine learning systems. This work explores the use of self-supervised contrastive learning to the simultaneous detection of two types of OOD samples...
arxiv.org/abs/1001.1451v1
Efficient Upload Bandwidth Estimation and Communication Resource Allocation Tech…
In this paper we address two problems, for which we present novel, efficient, algorithmic solutions. The first problem is motivated by practical situations and is concerned with the efficient estimation of the upload bandwidth of a machine, particu...
arxiv.org/abs/1608.05554v1
Learning to Start for Sequence to Sequence Architecture
The sequence to sequence architecture is widely used in the response generation and neural machine translation to model the potential relationship between two sentences. It typically consists of two parts: an encoder that reads from the source senten...
arxiv.org/abs/1809.07945v1
SCC: Automatic Classification of Code Snippets
Determining the programming language of a source code file has been considered in the research community; it has been shown that Machine Learning (ML) and Natural Language Processing (NLP) algorithms can be effective in identifying the programming la...
www.bing.com/ck/a?!&&p=a34a4cb14bc692e980e7c419a8356be990d43456641f6b3454a759142da4dd33JmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=301a903c-6983-6774-0512-872d686e6645&u=a1aHR0cHM6Ly9kZXZlbG9wZXIuYXBwbGUuY29tL2RvY3VtZW50YXRpb24veGNvZGUtcmVsZWFzZS1ub3Rlcy94Y29kZS0xNi1yZWxlYXNlLW5vdGVz&ntb=1
Xcode 16 Release Notes | Apple Developer Documentation
Xcode 16 includes predictive code completion, powered by a machine learning model specifically trained for Swift and Apple SDKs. Predictive code completion requires a Mac with Apple silicon, running …
arxiv.org/abs/2104.09226v1
Machine learning approach to dynamic risk modeling of mortality in COVID-19: a U…
The COVID-19 pandemic has created an urgent need for robust, scalable monitoring tools supporting stratification of high-risk patients. This research aims to develop and validate prediction models, using the UK Biobank, to estimate COVID-19 mortality...
arxiv.org/abs/2105.03131v1
Code2Image: Intelligent Code Analysis by Computer Vision Techniques and Applicat…
Intelligent code analysis has received increasing attention in parallel with the remarkable advances in the field of machine learning (ML) in recent years. A major challenge in leveraging ML for this purpose is to represent source code in a useful fo...
arxiv.org/abs/1004.0930v1
Spying the World from your Laptop -- Identifying and Profiling Content Providers…
This paper presents a set of exploits an adversary can use to continuously spy on most BitTorrent users of the Internet from a single machine and for a long period of time. Using these exploits for a period of 103 days, we collected 148 million IPs...
github.com/fracdiff/fracdiff
fracdiff/fracdiff
Compute fractional differentiation super-fast. Processes time-series to be stationary while preserving memory. cf. "Advances in Financial Machine Learning" by M. Prado. (⭐ 333)
www.reddit.com/r/hobbycnc/comments/1p1xqyi/nestworks_c500/
NestWorks C500
I’m 99% sold on this machine and i’m about to pull the trigger on kickstarter backing the entire kit. My only concern is it sounds almost…too good to be true? The slicer being 3 clicks, ability ...