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Jiahong Zhao's Projects

3d3a-matlab-toolbox icon 3d3a-matlab-toolbox

Collection of various MATLAB functions for spatial audio processing released by the 3D3A Lab at Princeton University

ai-meetup-decision-systems-lab-uow icon ai-meetup-decision-systems-lab-uow

The Decision Systems Lab (DSL) at UOW announces the DSL@UOW AI Meetup Group. The meetups will involve brief tutorials on topics such as: Machine Learning, Robotic Process Automation and Chatbots, Agents, Alphago and Game Tree Search, Automated Planning and so on. The tutorials will be interspersed with (and followed by) much discussion. Come talk about what interests you in AI, what you'd like to do with it, how to AI-enable your favourite system and what the future holds. WHEN: Every Thursday at 5:30pm. Sessions will go for an hour to 90 minutes. Your enthusiasm will determine how long we'll go for.... WHERE: Bldg 6 (SMART Building) Room 105, UOW Main Campus

algo icon algo

数据结构和算法必知必会的50个代码实现

android-yolo icon android-yolo

Real-time object detection on Android using the YOLO network with TensorFlow

cnn-audio-denoiser icon cnn-audio-denoiser

Tensorflow 2.0 implementation of the paper: A Fully Convolutional Neural Network for Speech Enhancement

conv-tasnet icon conv-tasnet

A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).

conv-tasnet-1 icon conv-tasnet-1

A PyTorch implementation of "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation"

covariants icon covariants

Real-time updates and information about key SARS-CoV-2 variants, plus the scripts that generate this information.

cvdata icon cvdata

Tools for creating and manipulating computer vision datasets

darknet icon darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

deeplearning-500-questions icon 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

drn_cvpr2020 icon drn_cvpr2020

Code and Dataset for CVPR2020 "Dynamic Refinement Network for Oriented and Densely Packed Object Detection"

dual-path-rnns-dprnns-based-speech-separation icon dual-path-rnns-dprnns-based-speech-separation

A PyTorch implementation of dual-path RNNs (DPRNNs) based speech separation described in "Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation".

easycomdataset icon easycomdataset

The Easy Communications (EasyCom) dataset is a world-first dataset designed to help mitigate the *cocktail party effect* from an augmented-reality (AR) -motivated multi-sensor egocentric world view.

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