vickycs50 Goto Github PK

adae_dnn_audio_tagging

aesthetics

Image Aesthetics Toolkit - includes Fisher Vector implementation, AVA (Image Aesthetic Visual Analysis) dataset and fast multi-threaded downloader

android

Android related examples

benchmarking-gnns

Repository for benchmarking graph neural networks

book-1

book

cancelout

CancelOut is a layer for deep neural networks, that can help identify a subset of relevant input features for streaming or static data.

catdog

catdog data

check

asdfasdfasdfasdf

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

clrs

:notebook:Solutions to Introduction to Algorithms

code-learn-android-example

Code Learn Android Example

covid-19-detection-flask-app-based-on-chest-x-rays-and-ct-scans

COVID-19 Detection Chest X-rays and CT scans: COVID-19 Detection based on Chest X-rays and CT Scans using four Transfer Learning algorithms: VGG16, ResNet50, InceptionV3, Xception. The models were trained for 500 epochs on around 1000 Chest X-rays and around 750 CT Scan images on Google Colab GPU. A Flask App was later developed wherein user can upload Chest X-rays or CT Scans and get the output of possibility of COVID infection.

cs308_smart-overtaking-bot_2012

cyvlfeat

A thin Cython wrapper around select areas of vlfeat

dagmm

My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

dagmm-1

DAGMM Tensorflow implementation

data-analysis

problems and projects for mastering data analysis

data-science-ml-cheat-sheet-books-oreilly-

Data Science + ML Cheat Sheet collection by me

data-science-resources

datacamp

DataCamp data-science courses

deep_feature_extraction

deeplearning-notes

:blue_book: 记录深度学习的学习过程和资料整理，包括计算机视觉CV、Paper解读等...

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

demos

http://www.benmarshall.me

dsmil-wsi

DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image

emanet

The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)

ensemble_adversarial_attack

Ensemble Adversarial Black-Box Attacks against Deep Learning Systems Trained by MNIST, USPS and GTSRB Datasets

esmil

An embarrassingly simple approach to neural multiple instance classification

eswa-template

ESWA - Expert Systems with Applications latex template

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐