dongkuanx27

DeepTrends

Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series (AAAI'20)

STAR

Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs (IJCAI'19)

Deep-Co-Clustering

Deep Co-Clustering (SDM'19)

SparseBERT

(SparseBERT) Rethinking Network Pruning -- under the Pre-train and Fine-tune Paradigm (NAACL'21)

MCDA

Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection (SDM'21)

BERT-related-papers

BERT-related papers

byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

TRRN

Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling (AAAI'21)

archai

Reproducible Rapid Research for Neural Architecture Search (NAS)

AttentiveNAS

code for "AttentiveNAS Improving Neural Architecture Search via Attentive Sampling"

CLTC_SL

Cross-lingual Text Classification with Self-Learning

data-centric-ai

Resources for Data Centric AI

data-science-interviews

Data science interview questions and answers

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

dongkuanx27.github.io

dynamic-KG

Dynamic (Temporal) Knowledge Graph Completion (Reasoning)

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

I-BERT

I-BERT: Integer-only BERT Quantization

MT-RMN

Multi-Task Recurrent Modular Networks (AAAI'21)

mvgrl

nlpaug

Data augmentation for NLP

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

PruningToolsV2

PyContrast

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

ReWOO

Decoupling Reasoning from Observations for Efficient Augmented Language Models

slimmable_networks

Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019

Talks

torchquantum

A PyTorch-based framework for Quantum Simulation, with support for easy deployments on real quantum computers.

wmg_agent

WMG agent