melissa-sa/melissa
Large Scale Global Sensitivity Studies (⭐ 8)
Large Scale Global Sensitivity Studies (⭐ 8)
Official implementation of the paper "Laughter Synthesis using Pseudo Phonetic Tokens with a Large-scale In-the-wild Laughter Corpus" accepted by INTERSPEECH 2023. (⭐ 77)
Cruise Control Frontend (CCFE): Single Page Web Application to Manage Large Scale of Kafka Clusters (⭐ 371)
Objective: Retrieval-based Clinical Decision Support (ReCDS) can aid clinical workflow by providing relevant literature and similar patients for a given patient. However, the development of ReCDS systems has been severely obstructed by the lack of di...
Sprites or red sprites are large-scale electric discharges that occur in the mesosphere, high above thunderstorm clouds, or cumulonimbus, giving rise to
OSLO: Open Source framework for Large-scale model Optimization (⭐ 309)
OSLO: Open Source for Large-scale Optimization (⭐ 175)
Giulia Fanti, Vasyl Pihur, Úlfar Erlingsson, “Building a RAPPOR with the Unknown: Privacy-Preserving Learning of Associations and Data Dictionaries”, PoPETS 2016
We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1. DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning …
We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1. DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning …
Multi-Agent Path Finding (MAPF) is a crucial component for many large-scale robotic systems, where agents must plan their collision-free paths to their given goal positions. Recently, multi-agent reinforcement learning has been introduced to solve th...
In recent years, the deployment of large-scale Internet of Things (IoT) applications has given rise to edge federations that seamlessly interconnect and leverage resources from multiple edge service providers. The requirement of supporting both laten...
Detecting the presence of bots in distributed software development activity is very important in order to prevent bias in large-scale socio-technical empirical analyses. In previous work, we proposed a classification model to detect bots in GitHub re...
Do you ever stop to think about how large companies handle their reputation so well? You may not be on the same scale, but you can learn more as you keep watching your business grow. Be sure to keep posting new positive content to keep it fresh, and negative f…
Do you ever stop to think about how large companies handle their reputation so well? You may not be on the same scale, but you can learn more as you keep watching your business grow. Be sure to keep posting new positive content to keep it fresh, and negative f…
Although optical aperture synthesis has been generally regarded as the only access to very large imager for over a century, the problem of phasing all the giant sub-apertures on the scale of wavelength is still prohibitive. Besides, the accompanied a...
We introduce CommerceMM - a multimodal model capable of providing a diverse and granular understanding of commerce topics associated to the given piece of content (image, text, image+text), and having the capability to generalize to a wide range of t...
Tools for curating biomedical training data for large-scale language modeling (⭐ 493)
Repo for external large-scale work (⭐ 6544)
A Flexible and Powerful Parameter Server for large-scale machine learning (⭐ 6783)