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Name: fhshen
Type: User
Name: fhshen
Type: User
2017-CCF-BDCI-让AI当法官 初赛 7th/415 (Top 1.68%)
awesome-semantic-segmentation
IterDet: Iterative Scheme for Object Detection in Crowded Environments
Caffe_Code_Analysis
Traditional Chinese Medicine Clinical Records Classification. In BIBM 2016
A tool that automatically extracts network structures from Tensorflow model files
A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility
source codes for paper: DeepHSV: User-independent Offline Signature Verification Using Two-Channel CNN
DehazeNet: An End-to-End System for Single Image Haze Removal
Baseline Systems of DuReader Dataset
FaceRank - Rank Face by CNN Model based on TensorFlow (add result picture). FaceRank-人脸打分基于 TensorFlow 的 CNN 模型(有图有真相)(QQ群:522785813)。
博客
Faster-RCNN in Tensorflow
Tensorflow implementation for "Feature Pyramid Networks for Object Detection"
Generative Image Inpainting with Contextual Attention https://arxiv.org/abs/1801.07892, demo http://jhyu.me/demo
Two multitasking CNNs for simultaneous face detection, landmarks estimation and visibility, pose estimation and gender recognition. hyperface.py concatenates feature maps from initial, mid and final layers of the network and then branches out to different heads. multiout.py branches from the final layer of the network to different heads. DataGen2.py is the Data Generator used for reading multiple labels from json files. It is a modified version of Keras's default Data Generator. The idea is based on the following paper - [1] R. Ranjan, V. M. Patel, and R. Chellappa. Hyperface: A deep multitask learning framework for face detection, landmark localization, pose estimation, and gender recognition. CoRR, abs/1603.01249, 2016. The implementation is slightly different. The original HyperFace architecture is built on top of AlexNet while the implementation here uses another architecture called SqueezeNet.
Interactive Image Generation via Generative Adversarial Networks
Interview Questions
本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍,没准你想找的书就在这里呢,包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列(常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习,深度学习等等),大数据系列(Spark,Hadoop,Scala,kafka等),程序员必修系列(C、C++、java、数据结构、linux,设计模式、数据库等等)
Kaggle:Quora Question Pairs, 4th/3396 (https://www.kaggle.com/c/quora-question-pairs)
My best submission to the Kaggle competition "Predicting a Biological Response", ranked 17th over 711 teams.
A Keras implementation of YOLOv3 (Tensorflow backend)
Learn OpenCV : C++ and Python Examples
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
A MXNet implementation of Mask R-CNN
Neural netwrok to recognize and dehaze underwater images using Tensorflow. For additional information contact us: Aleks Attanasio: ([email protected]), Nataliya Nechyporenko ([email protected])
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.