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The source code for ICML2021 paper When Does Data Augmentation Help With Membership Inference Attacks?
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
Convert images of LaTex math equations into LaTex code.
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
SAST Skill Docs. We are paving the way for your CS studying.
Python面试通关宝典,秋招、春招的小伙伴✿✿ヽ(°▽°)ノ✿),有面Python开发方向的,看这一个repo就够啦😘
🍊 持续更新, 整理mysql、oracle数据库相关 笔试面试题,主要为了应对面试过程中遇到的sql题目
2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记,此外,还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的,其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。
📚【后台研发岗】面试精华总结(地表最全)。包含C/C++,算法,操作系统,计算机网络,Linux,网络编程,信息安全,数据库等 重点面试知识(持续更新)
2021年最新整理,5000道秋招/提前批/春招/常用面试题(含答案),包括leetcode,校招笔试题,面试题,算法题,语法题。
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
Code for reproducing Manifold Mixup results (ICML 2019)
Siamese Network trained with Keras using SqueezeNet embedded features with Contrastive Loss to find similar images in CIFAR-10 Dataset
Build a basic Siamese Network to find the similarity or dissimilarity between 32x32 colored images from the CIFAR10 dataset.
📈 Implementation of eight evaluation metrics to access the similarity between two images. The eight metrics are as follows: RMSE, PSNR, SSIM, ISSM, FSIM, SRE, SAM, and UIQ.
🖼️ 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch implementation of "Learning Fine-grained Image Similarity with Deep Ranking" (arXiv:1404.4661)
GANs with spectral normalization and projection discriminator
Code for Implicit Generation and Generalization with Energy Based Models
Code for AAAI 2021 Paper "Membership Privacy for Machine Learning Models Through Knowledge Transfer"
Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"
[ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning
johnson7788 / MixText
Forked from SALT-NLP/MixTextMixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification
自然语言处理学习笔记:机器学习及深度学习原理和示例,基于 Tensorflow 和 PyTorch 框架,Transformer、BERT、ALBERT等最新预训练模型及源代码详解,及基于预训练模型进行各种自然语言处理任务。模型部署