One of the major difficulties in machine learning methods is categorizing datasets that are imbalanced. This problem may lead to biased models, where the training process is dominated by the majority class, resulting in inadequate representation of t...
\# THE EMERGENCE OF MACHINE UNDERSTANDING: A Research Seed for Human and Synthetic Intelligence \----- \## THE GAME \*\*What is this?\*\* A curated bibliography of 80+ references designed as an \*e...
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018. - k4yt3x/video2x
Recent advancements in massively multilingual machine translation systems have significantly enhanced translation accuracy; however, even the best performing systems still generate hallucinations, severely impacting user trust. Detecting hallucinatio...
https://www.pouet.net/prod.php?which=71630 HAL 4000 intro by the SandS What's new in the final version: Keen did a lot of optimization. Now the intro size is exactly 4000 bytes, as expected. Manwe increased the shader compatibility, now the intro looks the sam…
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018. - k4yt3x/video2x
Motivation: In a predictive modeling setting, if sufficient details of the system behavior are known, one can build and use a simulation for making predictions. When sufficient system details are not known, one typically turns to machine learning, wh...
Machine learning (ML) has become a commodity in our every-day lives. We routinely ask ML empowered smartphones to suggest lovely food places or to guide us through a strange place. ML methods have also become standard tools in many fields of science...
This research is mainly focused on the assessment of machine learning algorithms in the prediction of daylight and visual comfort metrics in the early design stages. A dataset was primarily developed from 2880 simulations derived from Honeybee for Gr...
sometimes called a stencil duplicator or stencil machine, is a low-cost duplicating machine that works by forcing ink through a stencil onto paper. The process
Documenting the construction of an NMT (Neural Machine Translation) system for En/Ja based on the Transformer architecture leveraging the OpenNMT framework. A systematic exploration of corpora pre-processing, hyperparameter tuning and model architect...
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We present our demonstration of two machine translation applications to historical documents. The first task consists in generating a new version of a historical document, written in the modern version of its original language. The second application...
React Day Berlin Demo (⭐ 179)
Google's Cloud TPUs are a promising new hardware architecture for machine learning workloads. They have powered many of Google's milestone machine learning achievements in recent years. Google has now made TPUs available for general use on their clou...
Bioinformatics research is characterized by voluminous and incremental datasets and complex data analytics methods. The machine learning methods used in bioinformatics are iterative and parallel. These methods can be scaled to handle big data using t...
https://www.nobelprize.org/prizes/physics/2024/summary/ I think the Boltzmann machine is a really beautiful model, even from the mathematical point of view. I’m still a little bit shocked when I l...
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