Code that accompanies the paper Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning - Accepted to ICML2024

Python package built to ease deep learning on graph, on top of existing DL frameworks.

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An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)

一款对应力扣的浏览器油猴插件| TamperMonkey | Chrome

A framework for large scale recommendation algorithms.

Leetcode Rating Predictor built with Node. Browser extension and web interface.

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[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | 斗地主AI

Scalable, fast, and lightweight system for large-scale topic modeling

Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

CVPR2020/TNNLS2023: Central Similarity Quantization/Hashing for Efficient Image and Video Retrieval

State-of-the-Art Text Embeddings

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

Code for VideoSSL: Semi-Supervised Learning for Video Classification.

Models and examples built with TensorFlow

The code for 2020 Tencent College Algorithm Contest, and the online result ranks 1st.

Code of PhoenixLin(3rd place) in the 2nd Youtube8M Video Understanding Challenge

Starter code for working with the YouTube-8M dataset.

An implementation of "Hierarchical Community Structure Preserving Network Embedding: A Subspace Approach"

《深入浅出图神经网络：GNN原理解析》配套代码

Pytorch version GCN

Heterogeneous Graph Neural Network

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