lehaifeng's repositories

T-GCN

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

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SCAttNet

Semantic Segmentation Network with Spatial and Channel Attention Mechanism for High-Resolution Remote Sensing Images

RSI-CB

Remote Sensing Image Classification Benchmark for Deep Learning

awesome-AutoML

Curating a list of AutoML-related research, tools, projects and other resources

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awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Survey_of_Deep_Metric_Learning

A comprehensive survey of deep metric learning and related works

Awesome-person-re-identification

Awesome person re-identification

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awesome-vehicle-re-identification

collection of dataset&paper&code on Vehicle Re-Identification

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comet-commonsense

Code for ACL 2019 Paper: "COMET: Commonsense Transformers for Automatic Knowledge Graph Construction"

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distribution-is-all-you-need

The basic distribution probability Tutorial for Deep Learning Researchers

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GeoNetAnalysis

Comprehensive Geographic Networks Analysis: Statistical, Geometric and Algebraic Perspectives

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GraphRicciCurvature

A NetworkX addon to compute the Ricci curvature and Ricci flow.

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homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

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hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

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Intro_Stat_Think.github.io

Home page for Introduction to Statistics Thinking

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Long-term-Catastrophic-Forgetting

Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic Consolidation

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nni

An open source AutoML toolkit for neural architecture search and hyper-parameter tuning.

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numpy-ml

Machine learning, in numpy

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S2OMGAN-1

Implement of Paper "S2OMGAN: Shortcut from Remote Sensing Images to Online Maps"

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TransmogrifAI

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand tuning

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