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openne

An Open-Source Package for Network Embedding (NE)

pmf

This is a python code for probabilistic matrix factorization in recommendation.

pmf-pytorch

This the implementation of PMF using Pytorch

pwc

Papers with code. Sorted by stars. Updated weekly.

pycontrast

PyTorch implementation of Contrastive Learning methods; List of awesome-contrastive-learning papers

pygru4rec

PyTorch Implementation of Session-based Recommendations with Recurrent Neural Networks(ICLR 2016, Hidasi et al.)

pytorch-domain-adaptation

A collection of implementations of adversarial domain adaptation algorithms

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-seq2seq

pytorch-seq2seq is a framework for sequence-to-sequence (seq2seq) models in PyTorch.

pytorch_dann

An implementation of DANN with pytorch

recommenders

Best Practices on Recommendation Systems

recommendersystems

research-line

A paper list of my research line, welcome to discuss with me.

s2v

ICLR 2018 Quick-Thought vectors

sat-master-link-prediction

This is a Pytorch implementation of our ``Learning on Attribute-Missing Graphs''

sat-master-online

This is a Pytorch implementation of our "Learning on Attribute-Missing Graphs".

seal

SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural Networks, NeurIPS 2018 spotlight".

selfcf

Source code for "SelfCF: A Simple Framework for Self-supervised Collaborative Filtering"

sgc

official implementation for the paper "Simplifying Graph Convolutional Networks"

signnap-master-online

This is a Pytorch implementation of our paper "Learning Node Representations against Perturbations"

simplified_dmc

A simplified version for DMC (Deep Multimodal Clustering for Unsupervised Audiovisual Learning)

simsiam

PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566

simswap

The official project of SimSwap (ACM MM 2020)

spotlight

Deep recommender models using PyTorch.

sword-for-offer

使用Python3用优雅的方式实现《剑指Offer》中的题目。

unit_image2image_pytorch

vae_gumble_softmax

pytorch implementation of VAE-Gumble-Softmax

vissl

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow