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xuqiao-algo's Projects

albef icon albef

Code for ALBEF: a new vision-language pre-training method

bible_text_gcn icon bible_text_gcn

Pytorch implementation of "Graph Convolutional Networks for Text Classification"

chinese-llama-alpaca-2 icon chinese-llama-alpaca-2

中文LLaMA-2 & Alpaca-2大模型二期项目 + 16K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs, including 16K long context models)

clustergcn icon clustergcn

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

conference_call_for_paper icon conference_call_for_paper

2019-2020 International Conferences in Artificial Intelligence, Machine Learning, Computer Vision, Data Mining, Natural Language Processing and Robotics

deep-siamese-text-similarity icon deep-siamese-text-similarity

Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings

dgl icon dgl

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

dig icon dig

A library for graph deep learning research

dstn icon dstn

Deep Spatio-Temporal Neural Network (DSTN)

gae icon gae

Implementation of Graph Auto-Encoders in TensorFlow

gcn icon gcn

Implementation of Graph Convolutional Networks in TensorFlow

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

graphsage icon graphsage

Representation learning on large graphs using stochastic graph convolutions.

informer2020 icon informer2020

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

keras-dcgan icon keras-dcgan

Keras implementation of Deep Convolutional Generative Adversarial Networks

llama icon llama

Inference code for LLaMA models

msn icon msn

Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)

nrlpapers icon nrlpapers

Must-read papers on network representation learning (NRL) / network embedding (NE)

ofa icon ofa

Official repository of OFA. Paper: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework (ICML 2022)

pytorchvideo icon pytorchvideo

A deep learning library for video understanding research.

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