Pair Eyewear: Customizable Glasses and Sunglasses
How To Pick Your Pair Whatever your style, we’ve got the perfect frame shape for you.
Show HN: Dido – .NET framework to facilitate distributed computing
Points: 5 | Comments: 0 | Author: jbryan76
GitHub - k4yt3x/video2x: A machine learning-based video super ...
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018. - k4yt3x/video2x
Dynamics of valence fluctuations in the extended periodic Anderson model
We have investigated the valence transition in the extended periodic Anderson model (EPAM) within the framework of dynamical mean field theory. Previous theoretical studies have indicated the presence of this transition in parameter ranges that are e...
rust-av/Av1an
Cross-platform command-line AV1 / VP9 / HEVC / H264 encoding framework with per scene quality encoding (⭐ 1839)
GitHub - k4yt3x/video2x: A machine learning-based video super ...
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018. - k4yt3x/video2x
A standard transformation from XML to RDF via XSLT
A generic transformation of XML data into the Resource Description Framework (RDF) and its implementation by XSLT transformations is presented. It was developed by the grid integration project for robotic telescopes of AstroGrid-D to provide networ...
Revisiting Role Discovery in Networks: From Node to Edge Roles
Previous work in network analysis has focused on modeling the mixed-memberships of node roles in the graph, but not the roles of edges. We introduce the edge role discovery problem and present a generalizable framework for learning and extracting edg...
Quantile Regression for Qualifying Match of GEFCom2017 Probabilistic Load Foreca…
We present a simple quantile regression-based forecasting method that was applied in a probabilistic load forecasting framework of the Global Energy Forecasting Competition 2017 (GEFCom2017). The hourly load data is log transformed and split into a l...
TimeCatcher: A Variational Framework for Volatility-Aware Forecasting of Non-Sta…
Recent lightweight MLP-based models have achieved strong performance in time series forecasting by capturing stable trends and seasonal patterns. However, their effectiveness hinges on an implicit assumption of local stationarity assumption, making t...
Forecasting intermittent time series with Gaussian Processes and Tweedie likelih…
We adopt Gaussian Processes (GPs) as latent functions for probabilistic forecasting of intermittent time series. The model is trained in a Bayesian framework that accounts for the uncertainty about the latent function. We couple the latent GP variabl...
LLM-Mixer: Multiscale Mixing in LLMs for Time Series Forecasting
Time series forecasting remains a challenging task, particularly in the context of complex multiscale temporal patterns. This study presents LLM-Mixer, a framework that improves forecasting accuracy through the combination of multiscale time-series d...
List of smart TV platforms - Wikipedia
notable smart TV platforms and application software that are used as software framework and middleware platforms used by more than just one manufacturer
braintree/curator
Model and repository framework (⭐ 349)
Netflix/curator
ZooKeeper client wrapper and rich ZooKeeper framework (⭐ 2137)
Fuzzing MLIR Compilers with Custom Mutation Synthesis
Compiler technologies in deep learning and domain-specific hardware acceleration are increasingly adopting extensible compiler frameworks such as Multi-Level Intermediate Representation (MLIR) to facilitate more efficient development. With MLIR, comp...
Semantic Equivalence of e-Commerce Queries
Search query variation poses a challenge in e-commerce search, as equivalent search intents can be expressed through different queries with surface-level differences. This paper introduces a framework to recognize and leverage query equivalence to en...
estin/pomp
Screen scraping and web crawling framework (⭐ 59)
Exploration of lattice Hamiltonians for functional and structural discovery via…
Statistical physics models ranging from simple lattice to complex quantum Hamiltonians are one of the mainstays of modern physics, that have allowed both decades of scientific discovery and provided a universal framework to understand a broad range o...
Anchor Sponsor Firms in Open Source Software Ecosystems
Firms are intensifying their involvement with open source software (OSS), going beyond contributing to individual projects and releasing their own core technologies as OSS. These technologies, from web frameworks to programming languages, are the fou...