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Name: Equation
Type: User
Name: Equation
Type: User
A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
No.3 solution of Tianchi ImageNet Adversarial Attack Challenge.
:books: List of awesome university courses for learning Computer Science!
Deep Learning and deep reinforcement learning research papers and some codes
🎓Automatically Update CV Papers Daily using Github Actions (Update Every 12th hours)
my blog
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
A library for efficient similarity search and clustering of dense vectors.
SaTML 2023, 1st place in CVPR’21 Security AI Challenger: Unrestricted Adversarial Attacks on ImageNet.
A highly efficient and modular implementation of Gaussian Processes in PyTorch
Implementation of Kangaroo: Lossless Self-Speculative Decoding via Double Early Exiting
Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"
Monocular depth estimation by segmentation models for NYU-depth v2 dataset. Simple PyTorch Lightning implementation.
PKU一键出入校备案小工具
萌新友好的,无需下载文件与配环境的,基于Github Actions的,P大学生出入校自动报备程序
:rainbow:Python3网络爬虫实战:VIP视频破解助手;GEETEST验证码破解;小说、动漫下载;手机APP爬取;财务报表入库;火车票抢票;抖音APP视频下载;百万英雄辅助;网易云音乐下载;B站视频和弹幕下载;京东晒单图下载
The official implementation of “Rethinking Optimization and Architecture for Tiny Language Models”
Code relative to "Adversarial robustness against multiple $l_p$-threat models at the price of one and how to quickly fine-tune robust models to another threat model"
This is the implementation of our paper Towards Robust Vision Transformer
Supervised Adversarial Contrastive Training
Official implementation of the NeurIPS'2020 paper 'Self-Adaptive Training: beyond Empirical Risk Minimization'
Provable adversarial robustness at ImageNet scale
Code for our NeurIPS 2019 paper "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"
TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.