mitharvardwai / mitxharvard-wai-resources

Compilation of ML/AI Resources for Members of MITxHarvard Women in AI

MITxHarvard Women in AI Resources

Curated ML/AI Resources for MITxHarvard Women in AI members.

Have a suggestion to contribute? Please make a pull request (PR) or send an email to: wai_exec@mit.edu

Credits: Eugene Yan (https://eugeneyan.com), Suyash Shekhar (http://suyash.dev), Chris Dryden (http://chrisdryden.com)

Table of Contents

Python
Markdown
Linux
Version Control
Intro to AI for Beginners
Intro to AI for non-STEM
Interviewing for Jobs
Outreach
Industry Internships
Industry Lessons Learned
Cheat Sheets
Mathematics of ML
Deep Learning
Forecasting
Recommendation
Search
Natural Language Processing
Sequence Modelling
Computer Vision
Reinforcement Learning
Anomaly Detection
Knowledge Graphs
Information Extraction
Weak Supervision
MLOps
Explainable and Interpretable AI
Ethics

More to come!!

Python

Learn X in Y minutes
Machine Learning in Python Springboard
VIDEO: Learn Python in 1 Hour
VIDEO: Python Tutorial for Beginners
VIDEO: Python Crash Course for Beginners

Markdown

Mastering Markdown GitHub
Markdown Tutorial
VIDEO: Markdown Crash Course
VIDEO: Markdown Tips & Tricks 2022 codeSTACKr

Linux

Linux Command Line Basics Udacity
Introduction to Linux Linux Foundation
VIDEO: Intro to the Command Line - BASH Basics
VIDEO: Beginner's Guide to the Bash Terminal

Version Control

An Intro to Git and GitHub for Beginners HubSpot
Learn Git Branching
Git Cheat Sheet GitHub
VIDEO: Github Crash Course
VIDEO: Learn Git in 15 Minutes

Intro to AI Beginners

Machine Learning Stanford
ML for Beginners Microsoft
ML Glossary Cruise
[Introduction to Machine Learning](Introduction to Machine Learning Course) Udacity
Artifical Intelligence Georgia Tech
Secure and Private AI Facebook AI
Machine Learning Georgia Tech
Introduction to Machine Learning LMU
VIDEO: Machine Learning Stanford
VIDEO: Artificial Intelligence MIT
VIDEO: Introduction to Artificial Intelligence Berkeley
VIDEO: Introduction to Artificial Intelligence Udacity
VIDEO: Introduction to Machine Learning DataSchool

Intro to AI Non-STEM

AI for Everyone DeepLearning.ai
Intro to Artificial Intelligence Udacity
Introduction to Artificial Intelligence IBM
AI Foundations for Everyone IBM
How artificial intelligence is transforming the world Brookings
VIDEO: Artificial Intelligence is the New Electricity Stanford
VIDEO: The State of Artificial Intelligence MIT
VIDEO: AI for Everyone Deeplearning.ai

Interviewing

Outreach

Industry Internships

Industry Lessons Learned

Successes and Challenges in Adopting Machine Learning at Scale at a Global Bank Rabobank
Challenges in Deploying Machine Learning: a Survey of Case Studies (Paper) Cambridge
The problem with AI developer tools for enterprises Databricks
Building Scalable and Performant Marketing ML Systems at Wayfair Wayfair
On Challenges in Machine Learning Model Management Amazon
Deep Learning in Production
VIDEO: Conducting Fundamental ML Research as a Nonprofit Weights and Biases

Cheat Sheets

PySpark Cheat Sheet Datacamp
Pandas Cheat Sheet Datacamp
Numpy Cheat Sheet Datacamp
Keras Cheat Sheet Datacamp
Matplotlib Cheat Sheet Datacamp
Scikit-learn Cheat Sheet Datacamp
Seaborn Cheat Sheet Datacamp
SpaCy Cheat Sheet Datacamp
SciPy Cheat Sheet Datacamp

Mathematics

Mathematics of Machine Learning
Computational Linear Algebra fast.ai
Mathematics of Machine Learning MIT
Mathematics for Machine Learning Imperial College
VIDEO: A friendly introduction to linear algebra for ML X

Deep Learning

Deep Learning MIT
Dive into Deep Learning Amazon
Deep Learning DeepLearning.ai
Deep Learning Roadmap
VIDEO: Nuts and Bolts of Deep Learning
VIDEO: Foundations of Deep Learning
VIDEO: Foundations and Challenges of Deep Learning
VIDEO: Intro to Deep Learning MIT
VIDEO: Deep Learning Oxford
VIDEO: Neural Networks for Deep Learning UToronto

Forecasting

Forecasting at Uber: An Introduction Uber
Engineering Extreme Event Forecasting at Uber with RNN Uber
Transforming Financial Forecasting with Data Science and Machine Learning at Uber Uber
Introducing Orbit, An Open Source Package for Time Series Inference and Forecasting (Paper, Video, Code) Uber
Under the Hood of Gojek’s Automated Forecasting Tool Gojek
BusTr: Predicting Bus Travel Times from Real-Time Traffic (Paper, Video) Google
Retraining Machine Learning Models in the Wake of COVID-19 DoorDash
Managing Supply and Demand Balance Through Machine Learning DoorDash
Automatic Forecasting using Prophet, Databricks, Delta Lake and MLflow (Paper, Code) Atlassian
Greykite: A flexible, intuitive, and fast forecasting library LinkedIn
VIDEO: Introduction to Forecasting in Machine Learning and Deep Learning Uber
VIDEO: Forecast Your Products’ Demand with Machine Learning LinkedIn

Recommendation

Amazon.com Recommendations: Item-to-Item Collaborative Filtering (Paper) Amazon
Temporal-Contextual Recommendation in Real-Time (Paper) Amazon
P-Companion: A Framework for Diversified Complementary Product Recommendation (Paper) Amazon
Recommending Complementary Products in E-Commerce Push Notifications (Paper) Alibaba
Deep Interest with Hierarchical Attention Network for Click-Through Rate Prediction (Paper) Alibaba
Behavior Sequence Transformer for E-commerce Recommendation in Alibaba (Paper) Alibaba
TPG-DNN: A Method for User Intent Prediction with Multi-task Learning (Paper) Alibaba
PURS: Personalized Unexpected Recommender System for Improving User Satisfaction (Paper) Alibaba
SDM: Sequential Deep Matching Model for Online Large-scale Recommender System (Paper) Alibaba
Multi-Interest Network with Dynamic Routing for Recommendation at Tmall (Paper) Alibaba
Controllable Multi-Interest Framework for Recommendation (Paper) Alibaba
MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction (Paper) Alibaba
ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation (Paper) Alibaba
Session-based Recommendations with Recurrent Neural Networks (Paper) Telefonica
How 20th Century Fox uses ML to predict a movie audience (Paper) 20th Century Fox
Deep Neural Networks for YouTube Recommendations YouTube
Personalized Recommendations for Experiences Using Deep Learning TripAdvisor
E-commerce in Your Inbox: Product Recommendations at Scale (Paper) Yahoo
Powered by AI: Instagram’s Explore recommender system Facebook
Netflix Recommendations: Beyond the 5 stars (Part 1 (Part 2) Netflix
Learning a Personalized Homepage Netflix
Artwork Personalization at Netflix Netflix
To Be Continued: Helping you find shows to continue watching on Netflix Netflix
Calibrated Recommendations (Paper) Netflix
Marginal Posterior Sampling for Slate Bandits (Paper) Netflix
Food Discovery with Uber Eats: Recommending for the Marketplace Uber
Food Discovery with Uber Eats: Using Graph Learning to Power Recommendations Uber
How Music Recommendation Works — And Doesn’t Work Spotify
Music recommendation at Spotify Spotify
Recommending Music on Spotify with Deep Learning Spotify
For Your Ears Only: Personalizing Spotify Home with Machine Learning Spotify
Reach for the Top: How Spotify Built Shortcuts in Just Six Months Spotify
Explore, Exploit, and Explain: Personalizing Explainable Recommendations with Bandits (Paper) Spotify
Contextual and Sequential User Embeddings for Large-Scale Music Recommendation (Paper) Spotify
The Evolution of Kit: Automating Marketing Using Machine Learning Shopify
Content Suggestions at Dropbox Dropbox
Using Machine Learning to Predict what File you Need Next Dropbox
Personalized Recommendations in LinkedIn Learning LinkedIn
A Closer Look at the AI Behind Course Recommendations on LinkedIn Learning LinkedIn
Learning to be Relevant: Evolution of a Course Recommendation System (PAPER NEEDED)LinkedIn
Building a Heterogeneous Social Network Recommendation System LinkedIn
How TikTok recommends videos #ForYou ByteDance
A Meta-Learning Perspective on Cold-Start Recommendations for Items (Paper) Twitter
Lessons Learned Addressing Dataset Bias in Model-Based Candidate Generation (Paper) Twitter
Zero-Shot Heterogeneous Transfer Learning from RecSys to Cold-Start Search Retrieval (Paper) Google
Improved Deep & Cross Network for Feature Cross Learning in Web-scale LTR Systems (Paper) Google
Self-supervised Learning for Large-scale Item Recommendations (Paper) Google
Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations (Paper) Google
Personalized Channel Recommendations in Slack Slack
Deep Retrieval: End-to-End Learnable Structure Model for Large-Scale Recommendations (Paper) ByteDance
Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation (Paper) Tencent
Using AI to Help Health Experts Address the COVID-19 Pandemic Facebook
A Case Study of Session-based Recommendations in the Home-improvement Domain (Paper) Home Depot
Balancing Relevance and Discovery to Inspire Customers in the IKEA App (Paper) Ikea
Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time (Paper) Pinterest
How we use AutoML, Multi-task learning and Multi-tower models for Pinterest Ads Pinterest
Multi-task Learning for Related Products Recommendations at Pinterest Pinterest
Improving the Quality of Recommended Pins with Lightweight Ranking Pinterest
Advertiser Recommendation Systems at Pinterest Pinterest
Personalized Cuisine Filter Based on Customer Preference and Local Popularity DoorDash
How We Built a Matchmaking Algorithm to Cross-Sell Products Gojek
On YouTube's Recommendation System YouTube
VIDEO: How Recommender Systems Work Netflix
VIDEO: How to Design and Build a Recommendation System Pipeline in Python BioSymmetrics

Search

Amazon Search: The Joy of Ranking Products (Paper, Video, Code) Amazon
Why Do People Buy Seemingly Irrelevant Items in Voice Product Search? (Paper) Amazon
Semantic Product Search (Paper) Amazon
QUEEN: Neural query rewriting in e-commerce (Paper) Amazon
How Lazada Ranks Products to Improve Customer Experience and Conversion Lazada
Using Deep Learning at Scale in Twitter’s Timelines Twitter
Machine Learning-Powered Search Ranking of Airbnb Experiences Airbnb
Applying Deep Learning To Airbnb Search (Paper) Airbnb
Managing Diversity in Airbnb Search (Paper) Airbnb
Improving Deep Learning for Airbnb Search (Paper) Airbnb
Ranking Relevance in Yahoo Search (Paper) Yahoo
An Ensemble-based Approach to Click-Through Rate Prediction for Promoted Listings at Etsy (Paper) Etsy
Learning to Rank Personalized Search Results in Professional Networks (Paper) LinkedIn
Entity Personalized Talent Search Models with Tree Interaction Features (Paper) LinkedIn
In-session Personalization for Talent Search (Paper) LinkedIn
The AI Behind LinkedIn Recruiter Search and recommendation systems LinkedIn
Learning Hiring Preferences: The AI Behind LinkedIn Jobs LinkedIn
Quality Matches Via Personalized AI for Hirer and Seeker Preferences LinkedIn
Understanding Dwell Time to Improve LinkedIn Feed Ranking LinkedIn
Ads Allocation in Feed via Constrained Optimization (Paper, Video) LinkedIn
Talent Search and Recommendation Systems at LinkedIn (Paper) LinkedIn
Understanding Dwell Time to Improve LinkedIn Feed Ranking LinkedIn
AI at Scale in Bing Microsoft
Query Understanding Engine in Traveloka Universal Search Traveloka
The Secret Sauce Behind Search Personalisation Gojek
Food Discovery with Uber Eats: Building a Query Understanding Engine Uber
Neural Code Search: ML-based Code Search Using Natural Language Queries Facebook
Bayesian Product Ranking at Wayfair Wayfair
COLD: Towards the Next Generation of Pre-Ranking System (Paper) Alibaba
Globally Optimized Mutual Influence Aware Ranking in E-Commerce Search (Paper) Alibaba
Graph Intention Network for Click-through Rate Prediction in Sponsored Search (Paper) Alibaba
Reinforcement Learning to Rank in E-Commerce Search Engine (Paper) Alibaba
Aggregating Search Results from Heterogeneous Sources via Reinforcement Learning (Paper) Alibaba
Cross-domain Attention Network with Wasserstein Regularizers for E-commerce Search Alibaba
Understanding Searches Better Than Ever Before (Paper) Google
Shop The Look: Building a Large Scale Visual Shopping System at Pinterest (Paper, Video) Pinterest
Driving Shopping Upsells from Pinterest Search Pinterest
GDMix: A Deep Ranking Personalization Framework (Code) LinkedIn
Bringing Personalized Search to Etsy Etsy
Building a Better Search Engine for Semantic Scholar Allen Institute for AI
Query Understanding for Natural Language Enterprise Search (Paper) Salesforce
How We Used Semantic Search to Make Our Search 10x Smarter Tokopedia
Powering Search & Recommendations at DoorDash DoorDash
Things Not Strings: Understanding Search Intent with Better Recall DoorDash
Query Understanding for Surfacing Under-served Music Content (Paper) Spotify
How We Built A Context-Specific Bidding System for Etsy Ads Etsy
Query2vec: Search query expansion with query embeddings GrubHub
Embedding-based Retrieval in Facebook Search (Paper) Facebook
Towards Personalized and Semantic Retrieval for E-commerce Search via Embedding Learning (Paper) JD
MOBIUS: Towards the Next Generation of Query-Ad Matching in Baidu’s Sponsored Search Baidu
Pre-trained Language Model based Ranking in Baidu Search (Paper) Baidu
VIDEO: The Data Science Behind Search Engines Pivotal

Natural Language Processing

Abusive Language Detection in Online User Content (Paper) Yahoo
How Natural Language Processing Helps LinkedIn Members Get Support Easily LinkedIn
Building Smart Replies for Member Messages LinkedIn
DeText: A deep NLP Framework for Intelligent Text Understanding (Code) LinkedIn
Smart Reply: Automated Response Suggestion for Email (Paper) Google
Gmail Smart Compose: Real-Time Assisted Writing (Paper) Google
SmartReply for YouTube Creators Google
Using Neural Networks to Find Answers in Tables (Paper) Google
A Scalable Approach to Reducing Gender Bias in Google Translate Google
Assistive AI Makes Replying Easier Microsoft
AI Advances to Better Detect Hate Speech Facebook
A State-of-the-Art Open Source Chatbot (Paper) Facebook
A Highly Efficient, Real-Time Text-to-Speech System Deployed on CPUs Facebook
Deep Learning to Translate Between Programming Languages (Paper, Code) Facebook
Deploying Lifelong Open-Domain Dialogue Learning (Paper) Facebook
Introducing Dynabench: Rethinking the way we benchmark AI Facebook
Dynaboard: Moving Beyond Accuracy to Holistic Model Evaluation in NLP (Code) Facebook
Goal-Oriented End-to-End Conversational Models with Profile Features in a Real-World Setting (Paper) Amazon
How Gojek Uses NLP to Name Pickup Locations at Scale Gojek
Give Me Jeans not Shoes: How BERT Helps Us Deliver What Clients Want Stitch Fix
The State-of-the-art Open-Domain Chatbot in Chinese and English (Paper) Baidu
PEGASUS: A State-of-the-Art Model for Abstractive Text Summarization (Paper, Code) Google
Photon: A Robust Cross-Domain Text-to-SQL System (Paper) (Demo) Salesforce
GeDi: A Powerful New Method for Controlling Language Models (Paper, Code) Salesforce
Applying Topic Modeling to Improve Call Center Operations RICOH
WIDeText: A Multimodal Deep Learning Framework Airbnb
How we reduced our text similarity runtime by 99.96% Microsoft
Textless NLP: Generating expressive speech from raw audio (Part 1) (Part 2) (Part 3) (Code and Pretrained Models) Facebook
VIDEO: CS224: Natural Language Processing with Deep Learning Stanford
VIDEO: Deep Learning for Natural Language Processing Salesforce

Sequence Modelling

Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction (Paper)Alibaba
Search-based User Interest Modeling with Sequential Behavior Data for CTR Prediction (Paper) Alibaba
Deep Learning for Electronic Health Records (Paper) Google
Deep Learning for Understanding Consumer Histories (Paper) Zalando
Continual Prediction of Notification Attendance with Classical and Deep Networks (Paper) Telefonica
Using Recurrent Neural Network Models for Early Detection of Heart Failure Onset (Paper) Sutter Health
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks (Paper) Sutter Health
How Duolingo uses AI in every part of its app Duolingo
Leveraging Online Social Interactions For Enhancing Integrity at Facebook (Paper,
VIDEO: 6.S191 (2018): Sequence Modeling with Neural Networks MIT

Computer Vision

Categorizing Listing Photos at Airbnb Airbnb
Amenity Detection and Beyond — New Frontiers of Computer Vision at Airbnb Airbnb
Powered by AI: Advancing product understanding and building new shopping experiences Facebook
New AI Research to Help Predict COVID-19 Resource Needs From X-rays (Paper, Model) Facebook
Creating a Modern OCR Pipeline Using Computer Vision and Deep Learning Dropbox
How we Improved Computer Vision Metrics by More Than 5% Only by Cleaning Labelling Errors Deepomatic
A Neural Weather Model for Eight-Hour Precipitation Forecasting (Paper) Google
Machine Learning-based Damage Assessment for Disaster Relief (Paper) Google
RepNet: Counting Repetitions in Videos (Paper) Google
Converting Text to Images for Product Discovery (Paper) Amazon
How Disney Uses PyTorch for Animated Character Recognition Disney
Image Captioning as an Assistive Technology (Video) IBM
AI for AG: Production machine learning for agriculture Blue River
AI for Full-Self Driving at Tesla Tesla
On-device Supermarket Product Recognition Google
Using Machine Learning to Detect Deficient Coverage in Colonoscopy Screenings (Paper) Google
Shop The Look: Building a Large Scale Visual Shopping System at Pinterest (Paper, Video) Pinterest
Developing Real-Time, Automatic Sign Language Detection for Video Conferencing (Paper) Google
Vision-based Price Suggestion for Online Second-hand Items (Paper) Alibaba
Making machines recognize and transcribe conversations in meetings using audio and video Microsoft
An Efficient Training Approach for Very Large Scale Face Recognition (Paper) Alibaba
Identifying Document Types at Scribd Scribd
Semi-Supervised Visual Representation Learning for Fashion Compatibility (Paper) Walmart
VIDEO: Deep Learning for Computer Vision

Reinforcement Learning

Practical Reinforcement Learning Yandex
Deep Reinforcement Learning for Sponsored Search Real-time Bidding (Paper) Alibaba
Dynamic Pricing on E-commerce Platform with Deep Reinforcement Learning (Paper) Alibaba
Budget Constrained Bidding by Model-free Reinforcement Learning in Display Advertising (Paper) Alibaba
Productionizing Deep Reinforcement Learning with Spark and MLflow Zynga
Deep Reinforcement Learning in Production Part1 Part 2 Zynga
Building AI Trading Systems Denny Britz
Reinforcement Learning for On-Demand Logistics DoorDash
Reinforcement Learning to Rank in E-Commerce Search Engine (Paper) Alibaba
VIDEO: CS234: Reinforcement Learning Stanford
VIDEO: Deep Reinforcement Learning

Anomaly Detection

Detecting Performance Anomalies in External Firmware Deployments Netflix
Detecting and Preventing Abuse on LinkedIn using Isolation Forests (Code) LinkedIn
Preventing Abuse Using Unsupervised Learning LinkedIn
The Technology Behind Fighting Harassment on LinkedIn LinkedIn
Uncovering Insurance Fraud Conspiracy with Network Learning (Paper) Ant Financial
How Does Spam Protection Work on Stack Exchange? Stack Exchange
Auto Content Moderation in C2C e-Commerce Mercari
Blocking Slack Invite Spam With Machine Learning Slack
Cloudflare Bot Management: Machine Learning and More Cloudflare
Anomalies in Oil Temperature Variations in a Tunnel Boring Machine SENER
Using Anomaly Detection to Monitor Low-Risk Bank Customers Rabobank
Fighting fraud with Triplet Loss OLX Group
Facebook is Now Using AI to Sort Content for Quicker Moderation (Alternative) Facebook
How AI is getting better at detecting hate speech Part 1, Part 2, Part 3, Part 4 Facebook
Deep Anomaly Detection with Spark and Tensorflow
VIDEO: Solve Fraud Challenges with Graph Network and Deep Learning in Hopsworks Hopsworks

Knowledge Graphs

Building The LinkedIn Knowledge Graph LinkedIn
Retail Graph — Walmart’s Product Knowledge Graph Walmart
Food Discovery with Uber Eats: Using Graph Learning to Power Recommendations Uber
AliGraph: A Comprehensive Graph Neural Network Platform (Paper) Alibaba
Scaling Knowledge Access and Retrieval at Airbnb Airbnb
Contextualizing Airbnb by Building Knowledge Graph Airbnb
Traffic Prediction with Advanced Graph Neural Networks DeepMind
SimClusters: Community-Based Representations for Recommendations (Paper, Video) Twitter
Metapaths guided Neighbors aggregated Network for Heterogeneous Graph Reasoning (Paper) Alibaba
Graph Intention Network for Click-through Rate Prediction in Sponsored Search (Paper) Alibaba
JEL: Applying End-to-End Neural Entity Linking in JPMorgan Chase (Paper) JPMorgan Chase
Graph Convolutional Neural Networks for Web-Scale Recommender Systems (Paper)Pinterest

Information Extraction

Unsupervised Extraction of Attributes and Their Values from Product Description (Paper) Rakuten
Information Extraction from Receipts with Graph Convolutional Networks Nanonets
Using Machine Learning to Index Text from Billions of Images Dropbox
Extracting Structured Data from Templatic Documents (Paper) Google
AutoKnow: self-driving knowledge collection for products of thousands of types (Paper, Video) Amazon
One-shot Text Labeling using Attention and Belief Propagation for Information Extraction (Paper) Alibaba

Weak Supervision

MLOps

Managing ML Models @ Scale - Intuit’s ML Platform Intuit
Operationalizing Machine Learning—Managing Provenance from Raw Data to Predictions Comcast
Big Data Machine Learning Platform at Pinterest Pinterest
Real-time Machine Learning Inference Platform at Zomato Zomato
Meet Michelangelo: Uber’s Machine Learning Platform Uber
Building Flexible Ensemble ML Models with a Computational Graph DoorDash
LyftLearn: ML Model Training Infrastructure built on Kubernetes Lyft
"You Don't Need a Bigger Boat": A Full Data Pipeline Built with Open-Source Tools (Paper) Coveo
Core Modeling at Instagram Instagram
Open-Sourcing Metaflow - a Human-Centric Framework for Data Science Netflix
MLOps at GreenSteam: Shipping Machine Learning GreenSteam
Machine Learning in Production: The Booking.com Approach Booking
Rules of Machine Learning: Best Practices for ML Engineering Google
Continuous Integration and Deployment for Machine Learning Online Serving and Models Uber
Tuning Model Performance Uber
Awesome MLOps

Explainable AI

Interpretable Machine Learning
Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead Nature
Alibi Explain Seldon
Model Interpretability for Pytorch Captum
dalex DrWhy

Ethics

MIT AI Ethics Reading Group MIT
Explore AI Ethics
AI Ethics Resources fast.ai'
Ethical AI Resources
Responsible AI Resources Microsoft
A Practical Guide to Building Ethical AI HBR
Building Inclusive Products Through A/B Testing (Paper) LinkedIn
LiFT: A Scalable Framework for Measuring Fairness in ML Applications (Paper) LinkedIn
Ethics in AI and Data Science Linux Foundation
Ethics and governance of artificial intelligence for health WHO

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Compilation of ML/AI Resources for Members of MITxHarvard Women in AI

MIT License