:rocket: The Ultimate Image Uploader for Efficient Creators. Supports Obsidian, Typora, VS Code etc. and 60+ image hosting services (S3, GitHub, Cloudflare R2, Imgur, Aliyun OSS...). Paste, upload, done.
- electron
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- electron-vue
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:rocket: The Ultimate Image Uploader for Efficient Creators. Supports Obsidian, Typora, VS Code etc. and 60+ image hosting services (S3, GitHub, Cloudflare R2, Imgur, Aliyun OSS...). Paste, upload, done.
A High-Quality Real Time Upscaler for Anime Video
[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
🐍 Geometric Computer Vision Library for Spatial AI
Flat, round, designer-friendly pseudo-3D engine for canvas & SVG
A PyTorch Library for Accelerating 3D Deep Learning Research
Image augmentation library in Python for machine learning.
C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, NEON, SVE for ARM, HVX for Hexagon
WebGL-based viewer for volumetric data
The repository host gives no description.
:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification
Auto Image & file upload, resize and crop for Laravel eloquent model using Intervention image
A Python package to visualise neuroanatomical data in atlas space
The New Official Aparapi: a framework for executing native Java and Scala code on the GPU.
cell detection in calcium imaging recordings
OME (Open Microscopy Environment) develops open-source software and data format standards for the storage and manipulation of biological light microscopy data. A joint project between universities, research establishments and industry in Europe and the USA, OME has over 20 active researchers with strong links to the microscopy community. Funded by private and public research grants, OME has been a major force on the international microscopy stage since 2000.
Real-time film emulation for Unreal Engine: 21 looks, grain, halation, lens effects, Blueprint controls and reusable presets.
Read and write Neuroglancer datasets programmatically.
raspberry pi project that visualizes sound waves
HistoClean is a tool for the preprocessing and augmentation of images used in deep learning models. This easy to use application brings together the most popular image processing packages from across the python universe, meaning no more looking at documentation! HistoClean provides real time feedback to augmentations and preprocessing options. This allows users to evaluate their steps before implementation.
An interactive image processing program for biologists written in Python.
This is a debugger for use with cannon-es and BabylonJS