janeyzy Goto Github PK
Name: zy
Type: User
Name: zy
Type: User
2020 course on Online learning
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型
2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记,此外,还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的,其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。
Active learning
A collection of awesome resources image-to-image translation.
A curated list of Knowledge Graph related learning materials, databases, tools and other resources
My personal note about local and global descriptor
Repository for benchmarking graph neural networks
Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
Contrastive Learning of Structured World Models
A tool for chinese keyphrase extraction 一个快速从自然语言文本中提取和识别关键短语的工具
pytorch implementation of "Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination"
Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/
CNN可视化、理解CNN
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
A repository of pretty cool datasets that I collected for network science and machine learning research.
Implementation of Deep Graph Matching Consensus in PyTorch
Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.
Reimplementation of deepwalk algorithm from https://github.com/phanein/deepwalk
Python package built to ease deep learning on graph, on top of existing DL frameworks.
High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
A tensorflow implementation of DKN (Deep Knowledge-aware Network for News Recommendation)
An implementation of a deep learning recommendation model (DLRM)
The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
Implementation of Graph Convolutional Networks in TensorFlow
Graph Neural Ordinary Differential Equations
Must-read papers on graph neural networks (GNN)
A blog for understanding graph neural network
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.