janeyzy Goto Github PK
Name: zy
Type: User
zy's Projects
2020-online-learning
2020 course on Online learning
albert
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
albert_zh
A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型
algorithm_interview_notes-chinese
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。
as_molecule
Active learning
awesome-image-translation
A collection of awesome resources image-to-image translation.
awesome-knowledge-graph
A curated list of Knowledge Graph related learning materials, databases, tools and other resources
awesome-local-global-descriptor
My personal note about local and global descriptor
benchmarking-gnns
Repository for benchmarking graph neural networks
bottom-up-attention
Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
c-swm
Contrastive Learning of Structured World Models
chinese_keyphrase_extractor
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
cmc
pytorch implementation of "Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination"
cnn-explainer
Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/
cnn-visualization
CNN可视化、理解CNN
cnn_graph
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
datasets
A repository of pretty cool datasets that I collected for network science and machine learning research.
deep-graph-matching-consensus
Implementation of Deep Graph Matching Consensus in PyTorch
deepai
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.
deepwalk_keras_igraph
Reimplementation of deepwalk algorithm from https://github.com/phanein/deepwalk
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
dgl-ke
High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
dkn
A tensorflow implementation of DKN (Deep Knowledge-aware Network for News Recommendation)
dlrm
An implementation of a deep learning recommendation model (DLRM)
fastgcn
The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
fucking-algorithm
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
gcn
Implementation of Graph Convolutional Networks in TensorFlow
gde
Graph Neural Ordinary Differential Equations
gnnpapers
Must-read papers on graph neural networks (GNN)
graph-neural-network-note
A blog for understanding graph neural network
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