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02-executive-data-science

Coursera - Executive Data Science - Lectures, Books and Other Info

3d-resunet

advancedr

adversarial-learning-for-generative-conversational-agents

This repository contains a new adversarial training method for Generative Conversational Agents

afs2

Alternative Fuel Station Finder 2.0

aimarket

AI Market Investments & Analytics

aimedicine

AI for Medicine

airbnb

Airbnb Occupancy Analysis and Predictive Analytics

aitm

TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising. [https://arxiv.org/abs/2105.08489]

algorithms

Design and Analysis of Algorithms

alterity

Outlier Detection

ames

Ames House Prediction

analyzr

Collection of data analysis convenience functions

app-store-scraper

Single API ☝ App Store Review Scraper 🧹

appstore

AI-Enabled Voice of the Mobile Technology Customer

atelier-ai

Atelier AI: Design Studio for AI

automatedessayscoring

aws-doc-sdk-examples

Welcome to the AWS Code Examples Repository. This repo contains code examples used in the AWS documentation, AWS SDK Developer Guides, and more. For more information, see the Readme.rst file below.

azure-tdsp-projecttemplate

TDSP: Data science project template repository with standardized directory structure and document templates to support efficient project execution and collaboration.

bars

Towards open benchmarking for recommender systems https://openbenchmark.github.io/BARS

bayesian-regression

Bayesian Regression Analysis and Prediction

bayesian-statistics

R code for figures on Statistics with R slides

benchmark

best-readme-template

An awesome README template to jumpstart your projects!

bigcomputing

bigcomputing

bioimagebook.github.io

An introduction to bioimage analysis - http://bioimagebook.github.io

brainmri

Predicting age regression from brain MRI with 3D ResUnets and ResNext implemented on PyTorch

breast-cancer-detection-deep-neural-networks

breast-cancer-detection-mammogram-deep-learning-publication

Code for published article in PLOS ONE. Breast cancer detection in mammograms using DL techniques. Contains source code for data and methods used.

breast-cancer-image-classification-with-densenet121

This project utilizes a sophisticated deep learning model trained to classify breast ultrasound images into three categories: benign, malignant, or normal, thus determining the presence of breast cancer.