www.reddit.com/r/gaming/comments/1rdppqz/1_million_in_debt_devs_on_handheld_tony_hawks_pro/
$1 million in debt, devs on handheld Tony Hawk's Pro Skater saved the company by…
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github.com/geekq/workflow
geekq/workflow
Ruby finite-state-machine-inspired API for modeling workflow (⭐ 1796)
github.com/hanhuark/MEEG-54403
hanhuark/MEEG-54403
MEEG-44403/54403 Machine Learning for Mechanical Engineers at the University of Arkansas (⭐ 45)
arxiv.org/abs/2410.16713v4
Collapse or Thrive? Perils and Promises of Synthetic Data in a Self-Generating W…
What happens when generative machine learning models are pretrained on web-scale datasets containing data generated by earlier models? Some prior work warns of "model collapse" as the web is overwhelmed by synthetic data; other work suggests the prob...
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Sizzling Hot™ Deluxe Slot - Apps on Google Play
Dec 3, 2025 · Cult 77777 casino slot machine. ? Hot fruite slots action. ? Excellent chances to win! ? If you’re a fan of fruit and 777 slots, look no further than Sizzling Hot Casino! This casino slot is fun …
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unanswered - Wiktionary, the free dictionary
Adjective unanswered (not comparable) That has not been answered or addressed. The flashing light on the answering machine bore testimony to the unanswered call.
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about WIDIA | Big-tools Industrial Supply Tools for Metal Cutting
WIDIA is a brand for machinists, mechanical engineers, and machine shop owners who are depending on a reliable tool to keep their shop running through the night. The brand offers a full portfolio of …
github.com/ZavionH3nd3rson/ZavionH3nd3rson
ZavionH3nd3rson/ZavionH3nd3rson
An aspiring data scientist with expertise in machine learning, data analysis, and predictive modeling, developed through the MIT Applied Data Science Program. My projects include predictive modeling, feature engineering, model evaluation, and exploratory data…
github.com/mathworks/physionet_ECG_data
mathworks/physionet_ECG_data
This repository contains human electrocardiogram data (ECG) data used in Wavelet Toolbox machine and deep learning examples (⭐ 60)
github.com/ziyujia/Physiological-Signal-Classification-Papers
ziyujia/Physiological-Signal-Classification-Papers
A list of papers for physiological signal classification using machine learning/deep learning. (⭐ 246)
arxiv.org/abs/2501.03103v1
MVP: Multimodal Emotion Recognition based on Video and Physiological Signals
Human emotions entail a complex set of behavioral, physiological and cognitive changes. Current state-of-the-art models fuse the behavioral and physiological components using classic machine learning, rather than recent deep learning techniques. We p...
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The Jerusalem Post - All News from the Middle East, Israel ...
Samidoun condemned the joint US-Israeli attack on Iran, while SJP called on chapters to mobilize to "defend Iran’s sovereignty, and break the zionist war machine."
arxiv.org/abs/2511.23268v2
Avoidance of non-strict saddle points by blow-up
It is an old idea to use gradient flows or time-discretized variants thereof as methods for solving minimization problems. In some applications, for example in machine learning contexts, it is important to know that for generic initial data, gradient...
github.com/h2oai/Deep-Learning-with-h2o-in-R
h2oai/Deep-Learning-with-h2o-in-R
Deep neural networks on over 50 classification problems from the UC Irvine Machine Learning Repository (⭐ 27)
github.com/Aryia-Behroziuan/Recognition
Aryia-Behroziuan/Recognition
The classical problem in computer vision, image processing, and machine vision is that of determining whether or not the image data contains some specific object, feature, or activity. Different varieties of the recognition problem are described in the literat…
arxiv.org/abs/2505.17810v1
VIBE: Vector Index Benchmark for Embeddings
Approximate nearest neighbor (ANN) search is a performance-critical component of many machine learning pipelines. Rigorous benchmarking is essential for evaluating the performance of vector indexes for ANN search. However, the datasets of the existin...
arxiv.org/abs/2104.03042v1
On-device Federated Learning with Flower
Federated Learning (FL) allows edge devices to collaboratively learn a shared prediction model while keeping their training data on the device, thereby decoupling the ability to do machine learning from the need to store data in the cloud. Despite th...
arxiv.org/abs/2006.02144v1
Transfer Learning for British Sign Language Modelling
Automatic speech recognition and spoken dialogue systems have made great advances through the use of deep machine learning methods. This is partly due to greater computing power but also through the large amount of data available in common languages,...
arxiv.org/abs/2312.05187v1
Seamless: Multilingual Expressive and Streaming Speech Translation
Large-scale automatic speech translation systems today lack key features that help machine-mediated communication feel seamless when compared to human-to-human dialogue. In this work, we introduce a family of models that enable end-to-end expressive...
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Faxing Services at The UPS Store
Don’t have a fax machine, but need to send a fax? We know that several businesses rely on faxes to send and receive reliable signatures, official documents and more. But a nearby accessible fax …