Search Results for "low vision"
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Showing 9 open source projects for "low vision"
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Exclusively Dark Image Dataset
ExDARK dataset is the largest collection of low-light images
...The dataset was created to address the lack of large-scale low-light datasets available for research in object detection, recognition, and enhancement. It has been widely used in studies of low-light image enhancement, deep learning approaches, and domain adaptation for vision models. Researchers can also explore its associated source code for low-light image enhancement tasks, making it an essential resource for advancing work in night-time and low-light visual recognition. -
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Kornia
Open Source Differentiable Computer Vision Library
Kornia is a differentiable computer vision library for PyTorch. It consists of a set of routines and differentiable modules to solve generic computer vision problems. At its core, the package uses PyTorch as its main backend both for efficiency and to take advantage of the reverse-mode auto-differentiation to define and compute the gradient of complex functions. Inspired by existing packages, this library is composed by a subset of packages containing operators that can be inserted within neural networks to train models to perform image transformations, epipolar geometry, depth estimation, and low-level image processing such as filtering and edge detection that operate directly on tensors. ... -
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The Optimism Monorepo
Optimism is Ethereum, scaled
Optimism is a low-cost and lightning-fast Ethereum L2 blockchain, but it's also so much more than that. Optimism is the technical foundation for the Optimism Collective, a band of communities, companies, and citizens united by a mutually beneficial pact to adhere to the axiom of impact=profit — the principle that positive impact to the collective should be rewarded with profit to the individual. -
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CoreNet
CoreNet: A library for training deep neural networks
CoreNet is Apple’s internal deep learning framework for distributed neural network training, designed for high scalability, low-latency communication, and strong hardware efficiency. It focuses on enabling large-scale model training across clusters of GPUs and accelerators by optimizing data flow and parallelism strategies. CoreNet provides abstractions for data, tensor, and pipeline parallelism, allowing models to scale without code duplication or heavy manual configuration. -
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ReductStore
The fastest time series object store for Edge AI
...Merge blob and time series functionalities, reducing the need for multiple databases. Customize real-time data retention policies and replication strategies. Store billions of time-stamped blobs with AI labels and access them with low latency. Outperform other databases with a customized solution for time-series object data. Capture and access blob data as time series, tailored for edge computing, computer vision, and IoT. ReductStore handles blob data without size limits; your disk capacity is the only boundary. Ensure optimal storage management with FIFO quotas, preventing disk space shortages in real-time. ... -
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iJEPA
Official codebase for I-JEPA
i-JEPA (Image Joint-Embedding Predictive Architecture) is a self-supervised learning framework that predicts missing high-level representations rather than reconstructing pixels. A context encoder sees visible regions of an image and predicts target embeddings for masked regions produced by a slowly updated target encoder, focusing learning on semantics instead of texture. This objective sidesteps generative pixel losses and avoids heavy negative sampling, producing features that transfer... -
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Serverless Next.js Component
Deploy your Next.js apps on AWS Lambda@Edge via Serverless Components
A zero-configuration Next.js 10/11 serverless component for AWS Lambda@Edge aiming for full feature parity. Since Next.js 8.0, serverless mode was introduced which provides a new low-level API that projects like this can use to deploy onto different cloud providers. However, Next.js doesn't provide the full serverless routing logic, hence why this project is needed to fill the gap. The long-term vision is to allow you to self-host with various clouds, starting with AWS. This project is a better version of the serverless plugin which focuses on addressing core issues like next 9 support, better development experience, the 200 CloudFormation resource limit and performance. ... -
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Alabaster Theme
A light theme for Visual Studio Code
...Standard language keywords are deliberately left uncolored under the philosophy that they are obvious and draw unnecessary attention. This restraint produces a clean, low-noise editor surface that emphasizes what changes most during editing: names, literals, and commentary. The repository documents the rationale in detail and has inspired ports to other editors, showing its appeal to developers who prefer quiet aesthetics. Community discussions in the issue tracker revolve around targeted tweaks rather than expanding the palette, consistent with the theme’s minimalist vision. -
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ApproxAdderLib
Library of Approximate Adders
...To the best of our knowledge, this is the first open-source library of approximate adders that facilitates reproducible comparisons and further research and development in this direction across various layers of design abstraction. This work is a result of collaborative effort between Chair for Embedded Systems (CES) at Karlsruhe Institute of Technology (KIT), Germany and Vision Image and Signal Processing (VISpro) Lab at SEECS-NUST, Pakistan. -
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