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Name: hanwsf
Type: User
Name: hanwsf
Type: User
State-of-the-art detector of Boring hats in images and videos.
Bosch Kaggle competion: Reduce manufacturing failures (https://www.kaggle.com/c/bosch-production-line-performance)
Code for Capsule model used in "Dynamic Routing between Capsules" by Sara Sabour, Nickolas Frosst, Geoffrey E. Hinton.
Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Tensorflow for ContourGAN: Image Contour Detection with Generative Adversarial Encoder-Decoder Networks
Simple code to convert huge CSV file sequentially into HDF5 format
This project purpose is convert voc annotation xml file to yolo-darknet training file format
Foreign language reading and translation assistant based on copy and translate.(Latest: v0.0.7-Kylin-RC1)
Create VOC2007 dataset tools
A Artificial Inteligence created to generate faces based on records of criminals using GAN
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection
[ECCV2018] Distractor-aware Siamese Networks for Visual Object Tracking
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Experiments with Deep Learning
DeepFaceLab is a tool that utilizes machine learning to replace faces in videos. Includes prebuilt ready to work standalone Windows 7,8,10 binary (look readme.md).
from deekfakes' faceswap: https://www.reddit.com/user/deepfakes/
Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.
Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.
Simple dev setup for thingworx.
文档翻译服务
简称 "DoKit" 。一款功能齐全的客户端( iOS 、Android、微信小程序 )研发助手,你值得拥有。
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.