Best practice for training LLaMA models in Megatron-LM

Ongoing research training transformer models at scale

Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

A Node.js SDK for connecting devices to Microsoft Azure IoT services

gRPC Go Master Class: Build Modern API & Micro services

A progressive Node.js framework for building efficient, scalable, and enterprise-grade server-side applications with TypeScript/JavaScript 🚀

Databricks SDK for Python (Beta)

Databricks SQL Connector for Python

DeltaOMS is a solution that help build a centralized repository of Delta Transaction logs and associated operational metrics/statistics for your Delta Lakehouse. Unity Catalog supported in the v0.7…

Baseline for Databricks Labs projects written in Python

🧱 Databricks CLI eXtensions - aka dbx is a CLI tool for development and advanced Databricks workflows management.

Code snapshots and materials for our "React - The Complete Guide (Includes Hooks, React Router, and Redux)" Second Edition course

Simulation framework for accelerating research in Private Federated Learning

Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.

🚚 San Francisco's finger-licking street food now at your fingertips.

This is a repo with links to everything you'd ever want to learn about data engineering

Building an Application with Spring Boot :: Learn how to build an application with minimal configuration.

Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode …

Implementing best practices for PySpark ETL jobs and applications.

Malcolm is a powerful, easily deployable network traffic analysis tool suite for full packet capture artifacts (PCAP files), Zeek logs and Suricata alerts.

An Open Framework for Federated Learning.

Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

scikit-learn: machine learning in Python

Federated learning using https://www.mdpi.com/1996-1073/16/6/2837 as base with Flower framework. A secure aggregation using Pyfhel was added.

Experimentation in Federated Learning using Kubernetes

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Samples demonstrating how to use Scikit-learn to build machine-learning models