Pinned Repositories
air-pollution
this file contains the supplementary data of Yue et al.,(2020)
Awesome-Multi-Task-Learning
An up-to-date list of works on Multi-Task Learning
climate_learn
Deep learning for climate modeling.
colormap
Colormap recommendation
Coronavirus-2019
MATLAB Code used in estimates and figures
CV_dark_template
dbn_tf
RBM/DBN implementation with tensorflow attempt project
deep-belief-network
A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility
DXY-COVID-19-Data
2019新型冠状病毒疫情时间序列数据仓库 | COVID-19/2019-nCoV Infection Time Series Data Warehouse
Multitask-Learning
Awesome Multitask Learning Resources
Qianqian-Yang's Repositories
Qianqian-Yang/DXY-COVID-19-Data
2019新型冠状病毒疫情时间序列数据仓库 | COVID-19/2019-nCoV Infection Time Series Data Warehouse
Qianqian-Yang/Multitask-Learning
Awesome Multitask Learning Resources
Qianqian-Yang/air-pollution
this file contains the supplementary data of Yue et al.,(2020)
Qianqian-Yang/Awesome-Multi-Task-Learning
An up-to-date list of works on Multi-Task Learning
Qianqian-Yang/Coronavirus-2019
MATLAB Code used in estimates and figures
Qianqian-Yang/CV_dark_template
Qianqian-Yang/deep-belief-network
A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility
Qianqian-Yang/earthengine-api
Python and JavaScript bindings for calling the Earth Engine API.
Qianqian-Yang/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
Qianqian-Yang/eonerf
Earth Observation NeRF
Qianqian-Yang/Estimation-of-PM2.5-PM10-from-Satellite-Imagery
Estimate PM2.5/PM10 from satellite imagery
Qianqian-Yang/FAMO
Official PyTorch Implementation for Fast Adaptive Multitask Optimization (FAMO)
Qianqian-Yang/GEE-Scripts-Repo
learning GEE
Qianqian-Yang/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Qianqian-Yang/Global-NO2-Estimation
Code repository for "Toward Global Estimation of Ground-Level NO2 Pollution With Deep Learning and Remote Sensing", IEEE TGSRS, 2022
Qianqian-Yang/hugo-documentation-theme
Qianqian-Yang/hugo-minimal-theme
Qianqian-Yang/imbalanced-regression
Delving into Deep Imbalanced Regression
Qianqian-Yang/Loss-Balanced-Task-Weighting
Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning, AAAI-SA'19
Qianqian-Yang/MALSAR
Multi-task learning via Structural Regularization
Qianqian-Yang/mnistGANs
Some implementations of GAN.
Qianqian-Yang/morfist
Multi-target Random Forest implementation that can mix both classification and regression tasks
Qianqian-Yang/my_template1
Qianqian-Yang/numpy-ml
Machine learning, in numpy
Qianqian-Yang/Physics-Aware-Training
Instructional implementation of Physics-Aware Training (PAT) with demonstrations on simulated experiments.
Qianqian-Yang/pytorch-grad-norm
Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning adjustable weight coefficients.
Qianqian-Yang/Qianqian-Yang.github.io
Qianqian-Yang/starter-hugo-academic
Qianqian-Yang/Tensorflow-Deep-Neural-Networks
用Tensorflow实现的深度神经网络。
Qianqian-Yang/test1