Popular GitHub Repositories for Lake Malawi

Data API Framework for AI Agents and Data Apps

This repository provides programs to build Retrieval Augmented Generation (RAG) code for Generative AI with LlamaIndex, Deep Lake, and Pinecone leveraging the power of OpenAI and Hugging Face models for generation and evaluation.

Real Time Big Data / IoT Machine Learning (Model Training and Inference) with HiveMQ (MQTT), TensorFlow IO and Apache Kafka - no additional data store like S3, HDFS or Spark required

Generate a picture book from a single prompt using OpenAI function calling, replicate, and Deep Lake

? The semantic engine for LLMs, bringing semantic context to AI agents. ?

Amazon SageMaker Local Mode Examples

A Git-like Version Control File System for AI & Data Product Management.

? Stream inferences of real-time ML models in production to any data lake (Experimental)

The DBT of ML, as Aligned describes data dependencies in ML systems, and reduce technical data debt

S3 vector database for LLM Agents and RAG.

Books and Papers in Mathematics, Econometrics, Machine Learning, Finance etc for different levels that can be useful for Data Scientists, Developers and everyone whoo is interesting in STEM.

Icebird: JavaScript Iceberg Client

The Lightning Catalog is an open-source data catalog designed for preparing data at any scale in ad-hoc analytics, data virtualization, data warehousing, lake houses, and ML projects.

Repository of notebooks and related collateral used in the Databricks Demo Hub, showing how to use Databricks, Delta Lake, MLflow, and more.

Implementation of an ETL process for real-time sentiment analysis of tweets with Docker, Apache Kafka, Spark Streaming, MongoDB and Delta Lake

开放数据栈平台：一个由开放数据栈工具构建的项目和流程集合，用于构建可扩展、可观察的数据平台。

ETL to scrape a real estate website, process house prices and data, and build an ML model of the house prices.

A simulator for finding the optimal path of an Autonomous Surface Vehicle (ASV) using Genetic Algorithm (GA) to perform monitoring of an algae blooming in a lake

Smart Contract and Tokenization Framework for Africa Fast Ferry Ltd Compliant with SEC Regulation D Rule 506(c) and Regulation S — Combining Regulated Equity (AFFEQ) and Revenue-Sharing (AFFR) Tokens based on ERC-3643 Standards.

Simulation of job offers and CVs with real-time processing, classification, and analytics using Kafka, Ray, Spark, and Databricks. Includes a Flask-based recommendation system and Tableau visualizations.