Pinned Repositories
Awesome-Crowd-Localization
Awesome Crowd Localization
Awesome_AI4Earth
Awesome-AI4Earth: a curated list of machine learning in Earth System, especially for weather and climate.
CRA5
A large compression model for weather and climate data, which compresses a 400+ TB ERA5 dataset into a new 0.8 TB CRA5 dataset.
DRNet
PyTorch implementations of the paper: "DR.VIC: Decomposition and Reasoning for Video Individual Counting, CVPR, 2022"
FengWu-GHR.onnx
The main goal of FengWu-GHR is to enable LWM inference with minimal setup and state-of-the-art performance on a wide variety of hardware - locally and in the cloud.
IIM
PyTorch implementations of the paper: "Learning Independent Instance Maps for Crowd Localization"
NLT
PyTorch implementations of the paper: "Neuron Linear Transformation: Modeling the Domain Shift for Crowd Counting. (T-NNLS, 2021)..."
STEERER
STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning, ICCV, 2023
USADTM
PyTorch implementations of "Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning" (NeurIPS2020)
WEATHER-5K
Large-scale Time-series Dataset Towards Next-Generation Global Station Weather Forecasting Benchmark
taohan10200's Repositories
taohan10200/IIM
PyTorch implementations of the paper: "Learning Independent Instance Maps for Crowd Localization"
taohan10200/DRNet
PyTorch implementations of the paper: "DR.VIC: Decomposition and Reasoning for Video Individual Counting, CVPR, 2022"
taohan10200/STEERER
STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning, ICCV, 2023
taohan10200/WEATHER-5K
Large-scale Time-series Dataset Towards Next-Generation Global Station Weather Forecasting Benchmark
taohan10200/Awesome-Crowd-Localization
Awesome Crowd Localization
taohan10200/USADTM
PyTorch implementations of "Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning" (NeurIPS2020)
taohan10200/CRA5
A large compression model for weather and climate data, which compresses a 400+ TB ERA5 dataset into a new 0.8 TB CRA5 dataset.
taohan10200/NLT
PyTorch implementations of the paper: "Neuron Linear Transformation: Modeling the Domain Shift for Crowd Counting. (T-NNLS, 2021)..."
taohan10200/Awesome_AI4Earth
Awesome-AI4Earth: a curated list of machine learning in Earth System, especially for weather and climate.
taohan10200/FengWu-GHR.onnx
The main goal of FengWu-GHR is to enable LWM inference with minimal setup and state-of-the-art performance on a wide variety of hardware - locally and in the cloud.
taohan10200/SuperGluePretrainedNetwork
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
taohan10200/Awesome-Crowd-Counting
Awesome Crowd Counting
taohan10200/AdaptSegNet
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
taohan10200/awsome-domain-adaptation
A collection of AWESOME things about domian adaptation
taohan10200/chenbong
taohan10200/awesome-atmos
A curated list of awesome Python libraries, software and resources in Atmosphere, Environment and Machine Learning
taohan10200/CloneRepTest
taohan10200/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
taohan10200/fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
taohan10200/gjy3035
profile
taohan10200/historical_weather_display
一个数据可视化使用ECharts框架，后端使用Django框架的历史天气数据展示项目
taohan10200/HRNet-Semantic-Segmentation
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
taohan10200/HRViT
HRViT ("Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation"), CVPR 2022.
taohan10200/mmdetection
OpenMMLab Detection Toolbox and Benchmark
taohan10200/mtobeiyf
taohan10200/pytorch-segmentation-toolbox
PyTorch Implementations for DeeplabV3 and PSPNet
taohan10200/pytorch-summary
Model summary in PyTorch similar to `model.summary()` in Keras
taohan10200/stock_predict_with_LSTM
Predict stock with LSTM supporting pytorch, keras and tensorflow
taohan10200/taohan10200
taohan10200/taohan10200.github.io
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