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Name: wzb
Type: User
Name: wzb
Type: User
The Open Images dataset
Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”
End-to-end learning of deep visual representations for image retrieval
Keras code and weights files for popular deep learning models.
Main repository for Deep Metric Learning via Lifted Structured Feature Embedding
🌁 Image retrieval using deep learning of global descriptors.
Deep human action recognition and pose estimation
An Open-Source Package for Deep Learning to Hash (DeepHash)
Google DeepLab V3 for Image Semantic Segmentation
mIOU=80.02 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).
PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.
Implement Classical Deep Learning Models Using Keras
This repository contains implementations and illustrative code to accompany DeepMind publications
Source code for our CVPR 2015 work on saliency detection by multi-context deep learning
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
Official DeiT repository
Pytorch Implementation of Unifying Deep Local and Global Features for Image Search (DELG)
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
End-to-End Object Detection with Transformers
[DEPRECATED] Please move to https://github.com/thuml/hash-caffe
Arabic Dialects Segmenter Using Keras/BiLSTM/ChainCRF
Disk code release
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
Caffe Dropblock Implementation
pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
Implementation from Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
fast library for ANN search and KNN graph construction
EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow
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.