charlesyann Goto Github PK
Name: Charles
Type: User
Name: Charles
Type: User
Action recognition using soft attention based deep recurrent neural networks
Caffe: a fast open framework for deep learning.
Implementation of Deep Feature Interpolation
Detecting Text in Natural Image with Connectionist Text Proposal Network
Distractor-aware Siamese Networks for Visual Object Tracking (ECCV2018)
Implementation of recent Deep Learning papers
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Digit Recognizer of kaggle competetions
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks, Held, et al. ECCV 2016
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Tutorial teaching the basics of Keras and some deep learning concepts
Oxford Deep NLP 2017 course
Personnal Web.
Instance-aware Semantic Segmentation via Multi-task Network Cascades
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
《Python Cookbook》 3rd Edition Translation
R-FCN: Object Detection via Region-based Fully Convolutional Networks
single shot detector
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
Translation-aware Fully Convolutional Instance Segmentation
谷歌全新开源人工智能系统TensorFlow官方文档中文版
yolov3 yolov4 channel and layer pruning, Knowledge Distillation 层剪枝,通道剪枝,知识蒸馏
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.