chang111's Projects
ACM Grand Challenge 2020 BioMedia
This repository is intended to host tools and demos for ActivityNet
Fast and flexible AutoML with learning guarantees.
Code for the paper "The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization"
:alarm_clock: AI conference deadline countdowns
人工智能论文关键点集结。This project aims to collect key points of AI papers.
AI比赛相关
Apache Airflow
The project is associated with the recently-launched ICASSP 2022 Multi-channel Multi-party Meeting Transcription Challenge (M2MeT) to provide participants with baseline systems for speech recognition and speaker diarization in conference scenario.
AmsterdamUMCdb - Freely Accessible ICU database. Please access our Open Access manuscript at https://doi.org/10.1097/CCM.0000000000004916
Applied Deep Learning
Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".
Script for converting the pretrained VGGish model provided with AudioSet from TensorFlow to PyTorch, along with a basic smoke test.
Automatic architecture search and hyperparameter optimization for PyTorch
Google Brain AutoML
Public solution for AutoSeries competition
[InterSpeech 2020] "AutoSpeech: Neural Architecture Search for Speaker Recognition" by Shaojin Ding*, Tianlong Chen*, Xinyu Gong, Weiwei Zha, Zhangyang Wang
😎 Awesome lists about all kinds of interesting topics
简书的优秀资源可以向专题“elasticsearch”投稿,简书外的资源欢迎向本awesome pull requests
A collection of research materials on explainable AI/ML
list of efficient attention modules
Awesome Few-Shot Class-Incremental Learning
本仓库用于整理一些优秀的游戏开发资料🎮🕹🎲
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of awesome mathematics resources
A curated list of neural architecture search (NAS) resources.
Awesome Neural Adaptation in Natural Language Processing. A curated list. https://arxiv.org/abs/2006.00632
A topic-centric list of high-quality open datasets in public domains. Propose NEW data ☛☛☛PR☛☛☛
Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)