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贝贝's starred repositories

server

Mangos ZERO is a server for World of Warcraft. The server serves full world content including authentication & scripts support. Compatible with World of Warcraft clients 1.12.1-1.12.3 - Report all issues at https://www.getmangos.eu/bug-tracker/mangos-zero/

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Minusformer

Improving Time Series Forecasting by Progressively Learning Residuals

Language:Python4500

STG-Mamba

Official Implementation of STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model.

Language:Python12900

WeakAuras2

World of Warcraft addon that provides a powerful framework to display customizable graphics on your screen.

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yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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wetectron

Weakly-supervised object detection.

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DCGCN

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STSGCN

AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting

Language:Python32400

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Language:PythonApache-2.01323100

DCRNN

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

Language:PythonMIT116800

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

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TheGreatLeaderChairmanMAO

***选集（五卷）PDF

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ImageProcessing-Python

该资源为作者在CSDN的撰写Python图像处理文章的支撑，主要是Python实现图像处理、图像识别、图像分类等算法代码实现，希望该资源对您有所帮助，一起加油。

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FFTformer

[CVPR 2023] Effcient Frequence Domain-based Transformer for High-Quality Image Deblurring

Language:PythonMIT21600

DSANet

[Neural Networks] Dual-domain strip attention for image restoration

Language:PythonMIT4800

ICML2022-FEDformer

Source code of ICML'22 paper: FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting

Language:PythonMIT19300

SpectFormers

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FcaNet

FcaNet: Frequency Channel Attention Networks

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ThinkDSP

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

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OneNet

This is an official PyTorch implementation of the NeurIPS 2023 paper 《OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling》

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