SHI Xuan's repositories
Dassl.pytorch
A PyTorch toolbox for domain adaptation and semi-supervised learning.
ML_homework
My homework for "Andrew Ng: Machine Learning"
musical_instrument_embedding
"Use of Speaker Recognition Approaches for Learning and Evaluating Embedding Representations of Musical Instrument Sounds"
pytorch_audio
audio processing module for pytorch:stft, istft, mdct, imdct
armory_setup
ARMORY Adversarial Robustness Evaluation Test Bed
EE660_proj
USC EE660 Project from Jionhao Fang and Xuan Shi
gitignore
A collection of useful .gitignore templates
MDNF
Mel-Domain Noise Flooding Defense for ASR
media-eval-2020
MediaEval 2020: Music Mood Classification
multi-speaker-tacotron
VCTK multi-speaker tacotron for ICASSP 2020
NeuroKit
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
Open-Sora-Plan
This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.
Segment-and-Track-Anything_test
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.
Track-Anything_test
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.