zerojuzi Goto Github PK
Type: User
Type: User
Program for the analysis and visualization of whole-slide images in digital pathology
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection, CVPR, Oral, 2020
Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
An PyTorch reimplementation of bottom-up-attention models
Detect location and draw boundary of nuclei from microscopic images
Convolutional Neural Networks
The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)
End-to-end learning of deep visual representations for image retrieval
PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
Data augmentation for NLP, presented at EMNLP 2019
A PyTorch implementation of EfficientNet
A library for efficient similarity search and clustering of dense vectors.
Style transfer, deep learning, feature transform
Deep Convolutional Gaussian Mixture Model for Stain-Color Normalization in Histopathological H&E Images
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Keras implementation of Deep Convolutional Generative Adversarial Networks
Keras implementation of RetinaNet object detection.
I transfer the backend of yolov3 into mobilenet
Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute
An open source library for face detection in images. The face detection speed can reach 1500FPS.
Implementation of Mask-RCNN in Caffe https://arxiv.org/pdf/1703.06870.pdf
Deep Modular Co-Attention Networks for Visual Question Answering
Code of single-view depth prediction algorithm on Internet Photos described in "MegaDepth: Learning Single-View Depth Prediction from Internet Photos, Z. Li and N. Snavely, CVPR 2018".
Mish: A Self Regularized Non-Monotonic Neural Activation Function
Open MMLab Detection Toolbox and Benchmark
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.