getlift/lift
Expanding Serverless Framework beyond functions using the AWS CDK (⭐ 943)
CNNs for Surveillance Footage Scene Classification
In this project, we adapt high-performing CNN architectures to differentiate between scenes with and without abandoned luggage. Using frames from two video datasets, we compare the results of training different architectures on each dataset as well a...
WilsonGuo/MoveBase3D
MoveBase3D is a plane-fitting based uneven terrain navigation framework, which allows UGV to traverse different kinds of unstructured and complex environments outdoors. (⭐ 147)
Path Planning for Multiple Heterogeneous Unmanned Vehicles with Uncertain Servic…
This article presents a framework and develops a formulation to solve a path planning problem for multiple heterogeneous Unmanned Vehicles (UVs) with uncertain service times for each vehicle--target pair. The vehicles incur a penalty proportional to...
Runs created - Wikipedia
all of these things? Runs created attempts to answer this bedrock question. The conceptual framework of the "runs created" stat is: R C = A × B C {\displaystyle
EliaFantini/RocketMan-a-VR-videogame-created-with-Unity
A Virtual-Reality "escape-room-like" videogame for Oculus Quest, developed with Unity Engine using only the basic Oculus Framework. Game awarded as best game of the course ( year 2021/2022) (⭐ 102)
Automated Histopathology Report Generation via Pyramidal Feature Extraction and…
Generating diagnostic text from histopathology whole slide images (WSIs) is challenging due to the gigapixel scale of the input and the requirement for precise, domain specific language. We propose a hierarchical vision language framework that combin...
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
xlab/at
AT is a framework written in Go for communication with AT-compatible devices like Huawei modems via serial port. (⭐ 123)
Process migration-based computational offloading framework for IoT-supported mob…
Mobile devices have become an indispensable component of Internet of Things (IoT). However, these devices have resource constraints in processing capabilities, battery power, and storage space, thus hindering the execution of computation-intensive ap...
TRKT: Weakly Supervised Dynamic Scene Graph Generation with Temporal-enhanced Re…
Dynamic Scene Graph Generation (DSGG) aims to create a scene graph for each video frame by detecting objects and predicting their relationships. Weakly Supervised DSGG (WS-DSGG) reduces annotation workload by using an unlocalized scene graph from a s...
Sensitivity-Constrained Fourier Neural Operators for Forward and Inverse Problem…
Parametric differential equations of the form du/dt = f(u, x, t, p) are fundamental in science and engineering. While deep learning frameworks such as the Fourier Neural Operator (FNO) can efficiently approximate solutions, they struggle with inverse...
ksonnet/ksonnet
A CLI-supported framework that streamlines writing and deployment of Kubernetes configurations to multiple clusters. (⭐ 1160)
StreamNet: A WAE for White Matter Streamline Analysis
We present StreamNet, an autoencoder architecture for the analysis of the highly heterogeneous geometry of large collections of white matter streamlines. This proposed framework takes advantage of geometry-preserving properties of the Wasserstein-1 m...
NVIDIA-RTX/Streamline
Streamline Integration Framework (⭐ 819)
casadi/casadi
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as…
GoogleCloudPlatform/policy-library
A library of constraint templates and sample constraints for Constraint Framework tools (⭐ 233)
TagPlanet/yii-analytics-wt
A WebTrends component for the Yii framework (⭐ 2)
BepInEx/BepInEx
Unity / XNA game patcher and plugin framework (⭐ 7462)
Auditing Algorithmic Fairness in Machine Learning for Health with Severity-Based…
Auditing machine learning-based (ML) healthcare tools for bias is critical to preventing patient harm, especially in communities that disproportionately face health inequities. General frameworks are becoming increasingly available to measure ML fair...