jasonfinisher123 Goto Github PK
Type: User
Type: User
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Image augmentation library in Python for machine learning.
Google Brain AutoML
🕶 A curated list of Tiny Object Detection papers and related resources.
Bayesian Neural Network in PyTorch
Tensorflow 1.14 implementation of Cascade-RCNN, support GN, CARAFE, Deformable Conv
[CVPR2020] CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement
CBAM implementation on Keras
CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
Object detection, 3D detection, and pose estimation using center point detection:
中文文本分类,TextCNN,TextRNN,FastText,TextRCNN,BiLSTM_Attention,DPCNN,Transformer,基于pytorch,开箱即用。
:computer:深度学习实战:手写数字识别、Discuz验证码识别、垃圾分类、语义分割
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
DefectNet: Towards Fast and Effective Defect Detection
Deformable Convolutional Networks
Deformable ConvNets V2 (DCNv2) in PyTorch
Code for the CVPR 2018 Oral Paper "Deep Layer Aggregation"
A PyTorch implementation of EfficientNet
A PyTorch 1.0 Implementation of Unet with EfficientNet as encoder
pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...
Grok open release
Some histogram equalization methods to enhance image contrast, including AHE and CLAHE.
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
[NeurIPS 2020] Released code for Interventional Few-Shot Learning
Image augmentation for machine learning experiments.
An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.
Deep Learning for humans
Keras implementation of MaskRCNN object detection.
Keras implementation of Non-local Neural Networks
implementation of bam and cbam using keras
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.