Pinned Repositories
DeepER
End-to-End Deep Entity Resolution
deeper-lite
deep entity resolution lite version
DeepInfomaxPytorch
Learning deep representations by mutual information estimation and maximization
deepmatcher
Python package for performing Entity and Text Matching using Deep Learning.
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
DIM
Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"
entity_resolution
Entity resolution for CHT and other domains
gcn
Implementation of Graph Convolutional Networks in TensorFlow
GCN-PyTorch
Graph Convolution Network for PyTorch
JedAIToolkit
An open source, high scalability toolkit in Java for Entity Resolution.
Decoder996's Repositories
Decoder996/DeepER
End-to-End Deep Entity Resolution
Decoder996/deeper-lite
deep entity resolution lite version
Decoder996/DeepInfomaxPytorch
Learning deep representations by mutual information estimation and maximization
Decoder996/deepmatcher
Python package for performing Entity and Text Matching using Deep Learning.
Decoder996/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Decoder996/DIM
Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"
Decoder996/entity_resolution
Entity resolution for CHT and other domains
Decoder996/gcn
Implementation of Graph Convolutional Networks in TensorFlow
Decoder996/GCN-PyTorch
Graph Convolution Network for PyTorch
Decoder996/JedAIToolkit
An open source, high scalability toolkit in Java for Entity Resolution.
Decoder996/moco
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
Decoder996/nlp-pytorch-zh
《Natural Language Processing with PyTorch》中文翻译
Decoder996/OpenKE
An Open-Source Package for Knowledge Embedding (KE)
Decoder996/OpenNE
An Open-Source Package for Network Embedding (NE)
Decoder996/py_entitymatching
Decoder996/pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
Decoder996/pygcn
Graph Convolutional Networks in PyTorch
Decoder996/PyTorch-Tutorial
Build your neural network easy and fast
Decoder996/research_tao
NLP研究入门之道
Decoder996/simclr
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Decoder996/SimCLR-1
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Decoder996/text_gcn.pytorch
PyTorch implementation of "Graph Convolutional Networks for Text Classification. Yao et al. AAAI2019."
Decoder996/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.