mr1azl's starred repositories
Data-Science--Cheat-Sheet
Cheat Sheets
deeplearning-models
A collection of various deep learning architectures, models, and tips
haystack
:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
hugo-PaperMod
A fast, clean, responsive Hugo theme.
professional-services
Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.
awesome-cloud-run
👓 ⏩ A curated list of resources about all things Cloud Run
docker-images
Repository of Docker images created by Anaconda
uikit-ecommerce-template
E-commerce template built with UIKIt
lynket-browser
🌐 A better browser for Android using the Custom Tab protocol. Previously called Chromer.
fbinstant-samples
Sample projects for the Facebook Instant Games platform
semantic-search-through-wikipedia-with-weaviate
Semantic search through a vectorized Wikipedia (SentenceBERT) with the Weaviate vector search engine
zetasketch
A collection of libraries for single-pass, distributed, sublinear-space approximate aggregation and sketching algorithms. Currently: HyperLogLog++; more to come.
cloud-run-docker-mirror
Mirror images from one Docker repository to another, as a service.
extension-fbinstant
Facebook Instant Games extension for the Defold game engine
neural-network-intro
A practical introduction to artificial neural networks.
ga-download
Google Analytics Download System
databricks-powerbi-push-datasets
Power BI REST API function wrappers for sending Spark data to Power BI Push Datasets
al3xandr3.github.io
al3xandr3 web site
google-assistant--dealabs
Application réalisée avec ExpressJS et DialogFlow permettant de récupérer les derniers deals 💵 de Dealabs via Google Assistant
K-Means-Hierarchical-DBScan-Clustering-Analysis
Hyperparameter Tuning of K-Means using Elbow Method, Eps values based on MinPoints for DBScan and Hierarchical Clustering based on various values of 'k' is done to form different clusters, on which an analysis is done for semantic coherence.
wine-classification
Using supervised learning classification techniques to predict wine samples