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Active Learning using Multi Label Image Dataset
Final project for NLP(DATA130006) in Fudan university.
Official implementation of https://arxiv.org/abs/1911.06256. Bayesian and frequentist deep learning models for remaining useful life (RUL) estimation implemented in PyTorch.
A Python implementation of global optimization with gaussian processes.
light reimplement of bert for keras
Deep Active Learning
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
Implementation in Python for Dempster Shafer algorythm with application in predicting movies genres by reviews
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet代码实现改为PyTorch实现。
Fake News Challenge
Matlab code used for the paper "Unscented Kalman Filtering on Lie Groups for Fusion of IMU and Monocular Vision"
Official code for "Efficient Deep Gaussian Process Models for Variable-Sized Inputs" - accepted in IJCNN2019
Implementation and experiments of graph embedding algorithms.deep walk,LINE(Large-scale Information Network Embedding),node2vec,SDNE(Structural Deep Network Embedding),struc2vec
A General Simultaneous Localization and Mapping Framework which supports feature based or direct method and different sensors including monocular camera, RGB-D sensors or any other input types can be handled.
EMNLP 2018: HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding
KG-BERT: BERT for Knowledge Graph Completion
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
Code to reproduce results in "Finding Streams in Knowledge Graphs to Support Fact Checking"
Stereo and Mono VIO, Visual Inertial, ORB-SLAM2
Open MMLab Detection Toolbox and Benchmark
A modular active learning framework for Python
Multiple Target Filtering Library
机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
Learning unknown ODE models with Gaussian processes
An open source platform for visual-inertial navigation research.
Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences
Demo the Kalman Filter on pedestrian tracking with YOLOv3.
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.