Large Scale RC Forums
Feb 20, 2026 · Large Scale Forums is a Large Scale RC fan site that was started to give Large Scale RC enthusiasts a place to come together and discuss and share their experiences with their large …
Feb 20, 2026 · Large Scale Forums is a Large Scale RC fan site that was started to give Large Scale RC enthusiasts a place to come together and discuss and share their experiences with their large …
Feb 20, 2026 · Large Scale Forums is a Large Scale RC fan site that was started to give Large Scale RC enthusiasts a place to come together and discuss and share their experiences with their large …
Code for the paper "Large-Scale Study of Curiosity-Driven Learning" (⭐ 831)
Task 4 Large-scale weakly supervised sound event detection for smart cars (⭐ 68)
Simulation Code for "Large-scale convex optimization for dense wireless cooperative networks" by Yuanming Shi, Jun Zhang, Brendan O'Donoghue, and Khaled B. Letaief, IEEE Trans. Signal Process., vol. 63, no. 18, Sept. 2015. (⭐ 67)
BDP 05: CLUSTERING OF LARGE UNLABELED DATASETS OVERVIEW Real world data is frequently unlabeled and can seem completely random. In these sort of situations, unsupervised learning techniques are a great way to find underlying patterns. This project looks at one…
Ray, Devanbu and Filkov issued a rebuttal of our TOPLAS paper "On the Impact of Programming Languages on Code Quality: A Reproduction Study". Our paper reproduced "A Large-Scale Study of Programming Languages and Code Quality in GitHub", which appear...
A large-scale multilingual dataset for Information Retrieval. Thorough human-annotations across 18 diverse languages. - project-miracl/miracl
Symbolic music datasets are important for music information retrieval and musical analysis. However, there is a lack of large-scale symbolic datasets for classical piano music. In this article, we create a GiantMIDI-Piano (GP) dataset containing 38,7...
In this work, we present Auto-captions on GIF, which is a new large-scale pre-training dataset for generic video understanding. All video-sentence pairs are created by automatically extracting and filtering video caption annotations from billions of...
The increasing massive data generated by various sources has given birth to big data analytics. Solving large-scale nonlinear programming problems (NLPs) is one important big data analytics task that has applications in many domains such as transport...
The growth in online shopping and third party logistics has caused a revival of interest in finding optimal solutions to the large scale in-transit freight consolidation problem. Given the shipment date, size, origin, destination, and due dates of mu...
With the advancing capabilities of computational methodologies and resources, ultra-large-scale virtual screening via molecular docking has emerged as a prominent strategy for in silico hit discovery. Given the exhaustive nature of ultra-large-scale...
FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model. (⭐ 3882)
This work introduces a scalable filtering algorithm for multi-agent traffic estimation. Large-scale networks are spatially partitioned into overlapping road sections. The traffic dynamics of each section is given by the switching mode model (SMM) usi...
A theoretical description of the phenomenon of modulation of near-wall turbulence by large scale structures is investigated. The description given is simple in that the effect of large-scale structures is limited to a quasi-steady response of the nea...
Amazing large Oil Rig with loot, in the sea 1.4km South of the Light-House on the Coast West of Chernogorsk. Original File Created by Your EZ Rich. Compatible with DayZ Console & PC. Full install instructions in readme file. (⭐ 31)
Recent advances in graph machine learning (ML) with the introduction of Graph Neural Networks (GNNs) have led to a widespread interest in applying these approaches to business applications at scale. GNNs enable differentiable end-to-end (E2E) learnin...
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, T…
Training large-scale models under given resources requires careful design of parallelism strategies. In particular, the efficiency notion of critical batch size (CBS), concerning the compromise between time and compute, marks the threshold beyond whi...