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miteru

An experimental phishing kit detection tool

mmdetection

OpenMMLab Detection Toolbox and Benchmark

models

Models and examples built with TensorFlow

my_siamese

myclassyvision

Clone from Facebook research AI

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

obfuscated-gradients

Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

object-detection-for-graphical-user-interface

Object Detection for Graphical User Interface: Old Fashioned or Deep Learning or a Combination?

paddleocr

Awesome multilingual OCR toolkits based on PaddlePaddle （practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices）

phishingbaseline

Implementations of 3 phishing detection and identification baselines

phishintention

PhishIntention: Phishing detection through webpage intention

phishpedia

Official Implementation of "Phishpedia: A Hybrid Deep Learning Based Approach to Visually Identify Phishing Webpages" USENIX'21

powerful-benchmarker

A PyTorch library for benchmarking deep metric learning. It's powerful.

proxy-anchor-cvpr2020

Official PyTorch Implementation of Proxy Anchor Loss for Deep Metric Learning, CVPR 2020

proxy-synthesis

Official PyTorch implementation of "Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning" (AAAI 2021)

py-googletrans

(unofficial) Googletrans: Free and Unlimited Google translate API for Python. Translates totally free of charge.

python-telegram-bot

We have made you a wrapper you can't refuse

pytorch-hdml

Hardness-Aware Deep Metric Learning (CVPR2019) in pytorch

pytorch-image-retrieval

A PyTorch framework for an image retrieval task including implementation of N-pair Loss (NIPS 2016) and Angular Loss (ICCV 2017).

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

pytorch-smoothgrad

SmoothGrad implementation in PyTorch

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

rembg

Rembg is a tool to remove images background.

research-ms-loss

MS-Loss: Multi-Similarity Loss for Deep Metric Learning

research-papers

robo

RoBO: a Robust Bayesian Optimization framework

ruofan-hugo

scholarly

Retrieve author and publication information from Google Scholar in a friendly, Pythonic way

simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

simsiam

A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'