annaduring Goto Github PK

100-days-of-ml-code

100 Days of ML Coding

2019_oct_github_101

ab_hubs_data_2023

abir-icmr2019

Codes of ICMR 2019 short paper "Weakly Supervised Image Retrieval via Coarse-scale Feature Fusion and Multi-level Attention Blocks"

adsh_pytorch

Source code for paper "Asymmetric Deep Supervised Hashing" on AAAI-2018

airbnb_amsterdam

alexnet-pytorch

Pytorch Implementation of AlexNet

attention-gated-networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

bootcamp-bringing-ml-models-into-production-intermediary-jun-aug2021

6 week-long Python hands-on MLOps Bootcamp following a real-life industry scenario.

cancer_detection

CNN Cancer Detection Microscopic images HOG SIFT SURF LBP

cheatsheets

RStudio Cheat Sheets

data-engineering-zoomcamp

Free Data Engineering course!

datasciencecoursera

datasharing

The Leek group guide to data sharing

deephash

An Open-Source Package for Deep Learning to Hash (DeepHash)

deephash-papers

Must-read papers on deep learning to hash (DeepHash)

deeplearning-mindmap

A mindmap summarising Deep Learning concepts.

delf-pytorch

PyTorch Implementation of "Large-Scale Image Retrieval with Attentive Deep Local Features"

dhn_pytorch

Source code for paper "Deep Hashing Network for Efficient Similarity Retrieval" on AAAI-2016

dpsh_pytorch

Source code for paper "Feature Learning based Deep Supervised Hashing with Pairwise Labels" on IJCAI-2016

ds_project_template

Data Science Project Template

dsh-pytorch

PyTorch implementation of DEEP SUPERVISED HASHING FOR FAST IMAGE RETRIEVAL(CVPR 2016)

git_tutorial

gradattnhash

source code for paper "Accelerate Learning of Deep Hashing With Gradient Attention" (ICCV 2019)

hashnet

Code release for "HashNet: Deep Learning to Hash by Continuation" (ICCV 2017)

jupyter-refactoring-beginner-jul2020

Refactor Jupyter notebooks with ease

keras-applications

Reference implementations of popular deep learning models.

learntopayattention

PyTorch implementation of ICLR 2018 paper Learn To Pay Attention (and some modification)

ml-dl_100

nus-wide-downloader

My Downloader for NUS-WIDE dataset