dongkuanx27 Goto Github PK

about-me

adann

Adaptive Neural Network for Node Classification in Dynamic Networks (ICDM'19)

archai

Reproducible Rapid Research for Neural Architecture Search (NAS)

attentivenas

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

bert-related-papers

BERT-related papers

bulbea

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

byol-pytorch

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

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

deep-co-clustering

Deep Co-Clustering (SDM'19)

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[email protected] 版权所有，违权必究 Tan 2018.06

deeptrends

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

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)

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

graph_nets

Build Graph Nets in Tensorflow

i-bert

I-BERT: Integer-only BERT Quantization

mcda

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

meta_lstm

The implementation of Meta-LSTM in "Meta Multi-Task Learning for Sequence Modeling." AAAI-18

mimic3-benchmarks

Python suite to construct benchmark machine learning datasets from the MIMIC-III clinical database.

mt-rmn

Multi-Task Recurrent Modular Networks (AAAI'21)

mtl_girnet

Code and datasets for our AAAI'19 paper : GIRNet: Interleaved Multi-Task Recurrent State Sequence Models

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.

pretrained-language-model

Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

pruningtoolsv2