tao han's repositories

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.

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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.

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WEATHER-5K

Large-scale Time-series Dataset Towards Next-Generation Global Station Weather Forecasting Benchmark

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STEERER

STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning, ICCV, 2023

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Awesome_AI4Earth

Awesome-AI4Earth: a curated list of machine learning in Earth System, especially for weather and climate.

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Awesome-Crowd-Counting

Awesome Crowd Counting

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DRNet

PyTorch implementations of the paper: "DR.VIC: Decomposition and Reasoning for Video Individual Counting, CVPR, 2022"

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huazhang-cs-books

:books: 华章计算机科学丛书高清扫描

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mmdetection

OpenMMLab Detection Toolbox and Benchmark

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Operating-Systems-COMP3511

Operating Systems COMP3511 - Labs and Homework

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HRViT

HRViT ("Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation"), CVPR 2022.

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taohan10200.github.io

TaoHan's HomePage

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IIM

PyTorch implementations of the paper: "Learning Independent Instance Maps for Crowd Localization"

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Awesome-Crowd-Localization

Awesome Crowd Localization

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stock_predict_with_LSTM

Predict stock with LSTM supporting pytorch, keras and tensorflow

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SuperGluePretrainedNetwork

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

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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

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awesome-atmos

A curated list of awesome Python libraries, software and resources in Atmosphere, Environment and Machine Learning

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NLT

PyTorch implementations of the paper: "Neuron Linear Transformation: Modeling the Domain Shift for Crowd Counting. (T-NNLS, 2021)..."

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gjy3035

profile

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USADTM

PyTorch implementations of "Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning" (NeurIPS2020)

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sipser-computation-3rd-solutions

Solutions to all questions of the book Introduction to the Theory of Computation, 3rd edition by Michael Sipser

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pytorch-segmentation-toolbox

PyTorch Implementations for DeeplabV3 and PSPNet

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examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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awsome-domain-adaptation

A collection of AWESOME things about domian adaptation

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AdaptSegNet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

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