pbharrin/machinelearninginaction
Source Code for the book: Machine Learning in Action published by Manning (⭐ 2399)
Source Code for the book: Machine Learning in Action published by Manning (⭐ 2399)
We investigate how feature correlations influence the capacity of Dense Associative Memory (DAM), a Transformer attention-like model. Practical machine learning scenarios involve feature-correlated data and learn representations in the input space, b...
We introduce a new sorting device for permutations which makes use of a pop stack augmented with a bypass operation. This results in a sorting machine, which is more powerful than the usual Popstacksort algorithm and seems to have never been investig...
Storm surge forecasting plays a crucial role in coastal disaster preparedness, yet existing machine learning approaches often suffer from limited spatial resolution, reliance on coastal station data, and poor generalization. Moreover, many prior mode...
Scientist Bruce Banner’s inner turmoil transforms him into the mean, green rage machine called the Hulk. The child of an abusive father, Bruce Banner grew up shy and introverted, yet a scientific genius.
This project analyzes Tennis players in a video to measure their speed, ball shot speed and number of shots. This project will detect players and the tennis ball using YOLO and also utilizes CNNs to extract court keypoints. This hands on project is perfect for…
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to be Turing-complete or computationally universal if it can be used to simulate any Turing machine (devised by English mathematician and computer scientist
Website for Scientific Machine Learning community at University of Leeds (⭐ 6)
TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning (⭐ 2273)
? Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. (⭐ 157527)
Low-resource languages (LRLs) lack sufficient linguistic resources and are underrepresented in benchmark datasets, resulting in persistently lower translation quality than high-resource languages, especially in privacy-sensitive and resource-limited...
State is a machine learning model that predicts cellular perturbation response across diverse contexts (⭐ 530)
Displays set of files that were saved in Time Machine backups (⭐ 267)
2024-11-16. "FlexAttention: The Flexibility of PyTorch with the Performance of FlashAttention – PyTorch". Dosovitskiy, Alexey; Beyer, Lucas; Kolesnikov
Jan 22, 2016 · When I try to type a question mark character (shift-/) on my Samsung Chromebook, I get an underscore. Other non-letter characters are wrong too. I haven't had the machine for long, but I â¦
Strategic classification, i.e. classification under possible strategic manipulations of features, has received a lot of attention from both the machine learning and the game theory community. Most works focus on analysing properties of the optimal de...
The machine learning algorithm is gaining prominence in traffic identification research as it offers a way to overcome the shortcomings of port-based and deep packet inspection, especially for P2P-based Skype. However,recent studies have focused main...
The guide includes basic citation templates and formatting, as well as instructions on creating in-text citations. Check this guide for all the information you’ll need to cite in Chicago Style.