ZHAO, BO's repositories

DeepCore

Code for coreset selection methods

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Awesome-Coreset-Selection

Awesome coreset/core-set/subset/sample selection works.

Improved-Deep-Leakage-from-Gradients

The code for "Improved Deep Leakage from Gradients" (iDLG).

Zero-shot-Learning

This is a display page of our works on Zero-shot Learning.

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Zero-shot-Learning-via-Recurrent-Knowledge-Transfer

Python and Matlab Codes for the paper 'Zero-shot Learning via Recurrent Knowledge Transfer'.

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AI-research-tools

:hammer:AI 方向好用的科研工具

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Continual-Representation-Learning-for-Biometric-Identification

Continual Representation Learning for Biometric Identification

deep-leakage-from-gradients

[NeurIPS 2019] Deep Leakage From Gradients https://arxiv.org/abs/1906.08935

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Zero-Shot-Learning-Posed-as-a-Missing-Data-Problem

Code of the paper "Zero-Shot Learning Posed as a Missing Data Problem"

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996.ICU

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

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AI-Challenger-2017-Datasets-Download

AI Challenger 2017 Datasets Download

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AutoDL-Projects

Automated deep learning algorithms implemented in PyTorch.

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Awesome-Knowledge-Distillation

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2019)。

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CAFE

This is a method of dataset condensation, and it has been accepted by CVPR-2022.

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CIFAR-ZOO

PyTorch implementation of CNNs for CIFAR benchmark

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dataset-distillation

Dataset Distillation

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DC-VAE

(CVPR 2021) DC-VAE: Dual Contradistinctive Generative Autoencoder

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DeepLearning

深度学习入门教程&&优秀文章&&Deep Learning Tutorial

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MetaOptNet

Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

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NATS-Bench

TPAMI 2021: NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size

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pytorch-cifar

95.16% on CIFAR10 with PyTorch

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pytorch-fid

Compute FID scores with PyTorch.

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PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

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pytorch-playground

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

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satellite-image-deep-learning

Resources for deep learning with satellite & aerial imagery

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variational-autoencoder

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

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