#
ivanchiao
Follow
Starred repositories
47
stars
written in Python
Clear filter
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A toolkit for developing and comparing reinforcement learning algorithms.
Graph Neural Network Library for PyTorch
Python package built to ease deep learning on graph, on top of existing DL frameworks.
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
A python package to analyze and compare voices with deep learning
Implementation of Graph Auto-Encoders in TensorFlow
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
Strategies for Pre-training Graph Neural Networks
Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"
SASRec: Self-Attentive Sequential Recommendation
Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning (CVPR 2020 Oral)
Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x
Contrastive Predictive Coding for Automatic Speaker Verification
This repository maintains codes for tencent advertisement algorithm competition 2018. Our codes ranked the 3rd place in the final round.
推荐系统/计算广告相关仓库，个人博客https://jesse-csj.github.io/
Graph Neural Network based Social Recommendation Model. SIGIR2019.
[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"
Disentagnled Graph Collaborative Filtering, SIGIR2020
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020
Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"