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Type: User
Bio: CV, NLP, Multimodal, LLM, AIGC😺
Location: Beijing
Type: User
Bio: CV, NLP, Multimodal, LLM, AIGC😺
Location: Beijing
LivingSocial API Design Guide
😎 Awesome lists about all kinds of interesting topics
Largest list of models for Core ML (for iOS 11+)
A topic-centric list of high-quality open datasets in public domains. Propose NEW data ☛☛☛PR☛☛☛
Google AI 2018 BERT pytorch implementation
forked from https://github.com/rbgirshick/caffe-fast-rcnn.git, furthermore replace and add some layers to it using https://github.com/BVLC/caffe.git and https://github.com/matthieudelaro/caffeBVLCplus.git respectively.
Classification models trained on ImageNet. Keras.
Polygon and line clipping and offsetting library (C++, C#, Delphi) by Angus Johnson. Forked from https://sourceforge.net/projects/polyclipping. I prepared a "Release" branch (containing C# source only) for submodule usage.
A PyTorch implementation of Connected Components Labeling
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Implementation code of the paper "Deep Fully Convolutional Regression Networks for Single Image Haze Removal"
deep learning model flask show (dl_flaskshow)
一个逗比写的各种逗比脚本~
A tensorflow implementation of EAST text detector
A PyTorch implementation of EfficientNet
手把手撕LeetCode题目,扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
Brief Introduction about Paper : Classification of Hyperspectral Imagery Using a New Fully Convolutional Neural Network
Learn CUDA with specific examples
Learn OpenCV : C++ and Python Examples
Object-Contextual Representations for Semantic Segmentation in PyTorch
Enable macOS HiDPI and have a native setting.
Introduction into Android Development using OpenCV and C++
Single Image Reflection Removal with Perceptual Losses
Papers with code. Sorted by stars. Updated weekly.
Implementation of the paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."
This is a simple neutral network code to do handwritten recognition
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.