zyp5511

UCLA PHD @roychowdhuryresearch

Aotai Inc. @AotaiCreativeLab Los Angeles

Pinned Repositories

HFO-Classification
HFO classification
Language:MATLAB11 3 02
HFO_Detector
HFODetector is Python package that that is capable of detecting HFOs with either a STE or an MNI detector. Detection speed is increased by using multiprocessing.
Language:Python8 4 02
ODMO
[ACMMM 2022] Official PyTorch Implementation of "Action-conditioned On-demand Motion Generation". ACM MultiMedia 2022.
Language:Python7 4 00
pyHFO
STE/MNI HFO detection, classification and visualization
Language:Python7 4 21
Arty
Language:C00
audioset_classification
Language:Python00
cactus-maml
Code for Unsupervised Learning via Meta-Learning.
Language:Python00
caffe-video_triplet
Unsupervised Learning using Videos (ICCV 2015)
Language:C++00
compare-toxicity
Language:Python00
zyp5511.github.io
Language:HTML20

zyp5511's Repositories

zyp5511/zyp5511.github.io
Language:HTML20
zyp5511/audioset_classification
Language:Python00
zyp5511/cactus-maml
Code for Unsupervised Learning via Meta-Learning.
Language:Python00
zyp5511/compare-toxicity
Language:Python00
zyp5511/FlappyBirdRL
Language:Python00
zyp5511/Garbage-Collector
Language:HTML02
zyp5511/LLM-paper
Biu
Language:Python01
zyp5511/SkinCancer
Matlab Project for extract skin cancer image and cross validation
Language:MATLAB00
zyp5511/create-template
The sample single page app project template, uses RequireJS
Language:JavaScript
zyp5511/CSE253
Language:Python2 0
zyp5511/deep_clustering
Implementation of [Deep Clustering for Unsupervised Learning of Visual Features]
zyp5511/ECE271B_quick_draw
Language:Jupyter Notebook2
zyp5511/geo
Language:CMake
zyp5511/geonb
Language:Mathematica
zyp5511/guided-motion-diffusion
zyp5511/learning2rank_practice
zyp5511/madgwick_py
A Python implementation of Madgwick's IMU and AHRS algorithm.
zyp5511/OpenAI-CLIP
Simple implementation of OpenAI CLIP model in PyTorch.
zyp5511/opencv
Open Source Computer Vision Library
zyp5511/PA2-Backprop
This repository contains the starter code and the pickled data files to be used for the PA2 of the course CSE-253
Language:Python
zyp5511/PA3
Introduction to CNNs and some tricks-of-the-trade
Language:Python
zyp5511/project110
Language:Java2 0
zyp5511/unsu
Language:C++
zyp5511/unsu_continue
Language:C++
zyp5511/unsu_new_knn
Language:C++
zyp5511/unsu_newknn
zyp5511/unsu_ruby
Language:Ruby
zyp5511/unsupervised_patch_extraction
Unsupervised Algorithm to extract foreground and background patches from a video
zyp5511/vision
Datasets, Transforms and Models specific to Computer Vision
Language:Jupyter Notebook
zyp5511/wacv_2019
Code for our WACV paper "Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors from Images"