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Type: User
Company: NUDT
Bio: behind every great fortune,there is a crime.
Location: cs
Blog: none.cn
Type: User
Company: NUDT
Bio: behind every great fortune,there is a crime.
Location: cs
Blog: none.cn
An (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.
deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.
The deeplearning algorithms implemented by tensorflow
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
Deep learning based one class classification code targeting one class image classification. Tests carried out on Abnormal image detection, Novel image detection and Active Authentication reported state of the art results.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
🔴蓝灯最新版本下载 https://github.com/getlantern/download 🔴 Lantern Latest Download https://github.com/getlantern/lantern/releases/tag/latest 🔴
a tensorflow version for DSRG (Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing)
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
仿【饿了么】订餐软件的一个demo
TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"
Android optimized event bus that simplifies communication between Activities, Fragments, Threads, Services, etc. Less code, better quality.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
A faster pytorch implementation of faster r-cnn
Faster-RCNN in Tensorflow
Faster RCNN with PyTorch
Fully Convolutional Instance-aware Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)
FCOS: Fully Convolutional One-Stage Object Detection
A microframework based on Werkzeug, Jinja2 and good intentions
An image loading and caching library for Android focused on smooth scrolling
GPU based optical flow extraction in OpenCV
Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims to apply GAIN on fcn8 architecture used for segmentation.
the first repository
Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"
Keras package for region-based convolutional neural networks (RCNNs)
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.