kapadias's Stars
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
openai/openai-cookbook
Examples and guides for using the OpenAI API
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
UKPLab/sentence-transformers
State-of-the-Art Text Embeddings
GoogleCloudPlatform/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
firmai/industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
alirezadir/Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
cmhungsteve/Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
elyase/awesome-gpt3
tsiege/Tech-Interview-Cheat-Sheet
Studying for a tech interview sucks. Here's an open source cheat sheet to help
wzhe06/Ad-papers
Papers on Computational Advertising
khuyentran1401/Data-science
Collection of useful data science topics along with articles, videos, and code
susanli2016/NLP-with-Python
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
shaoxiongji/knowledge-graphs
A collection of research on knowledge graphs
GoogleCloudPlatform/cloudml-samples
Cloud ML Engine repo. Please visit the new Vertex AI samples repo at https://github.com/GoogleCloudPlatform/vertex-ai-samples
GoogleCloudPlatform/mlops-on-gcp
statisticianinstilettos/recmetrics
A library of metrics for evaluating recommender systems
GoogleCloudPlatform/ml-on-gcp
Machine Learning on Google Cloud Platform
gsi-upm/sematch
semantic similarity framework for knowledge graph
MaurizioFD/RecSys_Course_AT_PoliMi
⚠️ [ARCHIVED] This version has been archived as of october 2024 and will not be updated anymore, please refer to the README for a link to the new version. This is the official repository for the Recommender Systems course at Politecnico di Milano.
aditya1702/Machine-Learning-and-Data-Science
This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.
shams-imran/books
JianzhouZhan/Awesome-RecSystem-Models
Implements of Awesome RecSystem Models with PyTorch/TF2.0
kapadias/medium-articles
Acrotrend/Awesome-Customer-Analytics
A curated list of awesome customer analytics content
CathyQian/Machine-Learning-System-Design
A collection of useful resources for Machine Learning System Design
baegwangbin/MLMI
MPhil Machine Learning and Machine Intelligence @ University of Cambridge
mkurovski/recsys_training
Hands-on Introduction to Recommender Algorithms
DeveloperManisha/Airbnb-Recommendation-System
JD-summer/jd_summarizer
Job Description Summarization with NLP