sandeepnavale's Stars
TheAlgorithms/Python
All Algorithms implemented in Python
meta-llama/llama
Inference code for Llama models
sickcodes/Docker-OSX
Run macOS VM in a Docker! Run near native OSX-KVM in Docker! X11 Forwarding! CI/CD for OS X Security Research! Docker mac Containers.
kelseyhightower/kubernetes-the-hard-way
Bootstrap Kubernetes the hard way. No scripts.
InterviewReady/system-design-resources
These are the best resources for System Design on the Internet
meta-llama/llama-recipes
Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama for WhatsApp & Messenger.
denisidoro/navi
An interactive cheatsheet tool for the command-line
andkret/Cookbook
The Data Engineering Cookbook
ZachGoldberg/Startup-CTO-Handbook
The Startup CTO's Handbook, a book covering leadership, management and technical topics for leaders of software engineering teams
mhadidg/software-architecture-books
A comprehensive list of books on Software Architecture.
cncf/landscape
🌄 The Cloud Native Interactive Landscape filters and sorts hundreds of projects and products, and shows details including GitHub stars, funding, first and last commits, contributor counts and headquarters location.
priyankavergadia/google-cloud-4-words
The Google Cloud Developer's Cheat Sheet
delta-io/delta
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
Fechin/reference
⭕ Share quick reference cheat sheet for developers.
biobootloader/wolverine
pamoroso/free-python-books
Python books free to read online or download
databricks/Spark-The-Definitive-Guide
Spark: The Definitive Guide's Code Repository
abhishek-ch/around-dataengineering
A Data Engineering & Machine Learning Knowledge Hub
PacktPublishing/40-Algorithms-Every-Programmer-Should-Know
40 Algorithms Every Programmer Should Know, published by Packt
thu-vu92/local-llms-analyse-finance
In this project, I explored how local LLMs can be used to label data and support analyses. Specifically, I used Llama2 model to automatically categorise my bank transaction data.
ffisk/books
augustogoulart/awesome-pytest
A curated list of awesome pytest resources
databricks-demos/dbdemos
Demos to implement your Databricks Lakehouse
alastairrushworth/free-data-science
🛠️ 🌐 Thematic list of high-quality data science resources
databrickslabs/dlt-meta
Metadata driven Databricks Delta Live Tables framework for bronze/silver pipelines
pandey623/technology_books
Premium eBook free for Geeks
ms2ag16/system-design-interview
System design interview for IT companies
shivampanicker/cicd_with_databricks
pandey623/geek-programming-books
Free programing ebooks
andysingal/books