TimWGY
Doctoral Researcher at NYU Wagner and NYU Shanghai; Urban Science and Policy
New York UniversityNew York
TimWGY's Stars
ChenBaiyang/MAUIL
The code and dataset for paper "MAUIL: Multi-level Attribute Embedding for Semi-supervised User Identity Linkage"
CaoQi92/DeepHawkes
DeepHawkes: Popularity Prediction of Information Cascades
LeiaChen94/Weibo_Checkins_2014
quanturban/firm
A gridded establishment dataset as a proxy for economic activity in China
svyas23/GAMa
GAMa: Cross-view Video Geo-localization
facebookresearch/HighResCanopyHeight
This repository provides inference code to compute canopy height maps from aerial images, as described in the paper "Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on Aerial Lidar".
mlfoundations/open_clip
An open source implementation of CLIP.
kelsiliul/A-large-scale-multilabel-dataset-for-satellite-images
A large-scale multilabel dataset for satellite images
utkarshmall13/streetview-google-cloud
CitylifeSim/CitylifeSim.github.io
Public site of CityLife Sim
microsoft/lida
Automatic Generation of Visualizations and Infographics using Large Language Models
satellite-image-deep-learning/techniques
Techniques for deep learning with satellite & aerial imagery
spatialucr/geosnap-viz
sindresorhus/awesome
😎 Awesome lists about all kinds of interesting topics
tsdataclinic/SubwayCrowds
A tool to estimate how crowded your subway trip is likely to be.
SuyashMore/MevonAI-Speech-Emotion-Recognition
Identify the emotion of multiple speakers in an Audio Segment
pyannote/pyannote-audio
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
SYSTRAN/faster-whisper
Faster Whisper transcription with CTranslate2
modularml/mojo
The Mojo Programming Language
mtmleczko/nzlud
Source data and code for National Zoning and Land Use Database
dmilo75/ai-zoning
xai-org/grok-1
Grok open release
socialfoundations/folktables
Datasets derived from US census data
jacobgil/pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
KaiyangZhou/CoOp
Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)
mkshing/Prompt-Tuning
Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"
XiangLi1999/PrefixTuning
Prefix-Tuning: Optimizing Continuous Prompts for Generation
google-research/big_vision
Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.
Rizwan-Majeed/Sentiment-Analysis-from-Images-Using-Deep-Learning
Convolutional Neural Network (CNN) was trained on 48x48 pixel grayscale images to predict 5 different emotions from images. Ten different models with different settings were trained to find the best model and The best model was able to predict 5 emotions from images with 88% training accuracy and 70% testing accuracy.
minweiqing/Multi-Task-Deep-Relative-Attribute-Learning-for-Visual-Urban-Perception