彭福's repositories

AutoAE

AAAI-23: Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles

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An-Information-Theoretic-Analysis-for-Federated-Learning-under-Concept-Drift

An-Information-Theoretic-Analysis-for-Federated-Learning-under-Concept-Drift

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AiLearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

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aurora-imui

General IM UI components. Android/iOS/RectNative ready. 通用 IM 聊天 UI 组件,已经同时支持 Android/iOS/RN。

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auto-attack

Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

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Awesome-Federated-Learning

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

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bayesian-machine-learning

Notebooks related to Bayesian methods for machine learning

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bottomNavigation

仿闲鱼的底部菜单栏

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Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记

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CVPR_2021_Papers

CVPR2021最新论文汇总,主要包括:Transformer, NAS,模型压缩,模型评估,图像分类,检测,分割,跟踪,GAN,超分辨率,图像恢复,去雨,去雾,去模糊,去噪,重建等等

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document-scanner

全能扫描王类似截取文档所在位置,然后透视变换回正常位置

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DRN

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

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federated-learning

A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561

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ICCV2021-Paper-Code-Interpretation

ICCV2021/2019/2017 论文/代码/解读/直播合集,极市团队整理

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ICCV2021-Papers-with-Code

ICCV 2021 论文和开源项目合集

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LearningNotes

Recording my daily learning and coding.

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models

Models and examples built with TensorFlow

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MVision

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

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my_scanner

my scanner 1.0

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noteshrink

Convert scans of handwritten notes to beautiful, compact PDFs

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OpenCV-Document-Scanner

An interactive document scanner built in Python using OpenCV featuring automatic corner detection, image sharpening, and color thresholding.

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pytorch-cifar

95.47% on CIFAR10 with PyTorch

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resnet-in-tensorflow

Re-implement Kaiming He's deep residual networks in tensorflow. Can be trained with cifar10.

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tensorpack

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

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YOLOv3-quantization-model-v1.0

YOLOv3 quantization model v10, only for quantization off-line

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