Repository Index

A playbook for systematically maximizing the performance of deep learning models.

Translatedabout learning Spring Boot via examples. Spring Boot tutorials and tech stack example code, quick and easy tutorials to get started.

• spring-boot
• spring-data-jpa
• mybatis
• thymeleaf

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

• rag
• tutorials
• langchain
• llama-index

:memo: An awesome Data Science repository to learn and apply for real world problems.

• data-science
• machine-learning
• data-visualization
• science

Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai

• artificial-intelligence
• cloud-ml
• computer-systems
• courseware

This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org

• hacking
• penetration-testing
• hacking-series
• cybersecurity

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

• deep-learning
• machine-learning
• book
• notebook

Python best practices guidebook, written for humans.

• python
• guide
• book

A set of best practices for JavaScript projects

• best-practices
• maintainability
• guidelines
• javascript

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

• python
• machine-learning
• deep-learning
• data-science

A curated list of awesome Deep Learning tutorials, projects and communities.

• deep-learning
• neural-network
• machine-learning
• awesome

Overview of ECMAScript 6 features

Helping you select a JavaScript framework - Todo apps for React.js, Angular, Vue and many more

A complete daily plan for studying to become a machine learning engineer.

• machine-learning
• deep-learning
• artificial-intelligence
• software-engineer

:snowman: Possibly the smallest compiler ever

Curated list of Go design patterns, recipes and idioms

• go
• idioms
• patterns
• awesome

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

• bayesian-methods
• pymc
• mathematical-analysis
• jupyter-notebook

Learn Low Level Design (LLD) and prepare for interviews using free resources.

• awesome
• design-patterns
• interview
• interview-practice

A list of developer portfolios for your inspiration

30 Days of React challenge is a step by step guide to learn React in 30 days. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

• challenge
• javascript
• js
• react

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

• agents
• ai
• context-window
• framework

deep learning for image processing including classification and object-detection etc.

• pytorch
• tensorflow2
• classification
• object-detection

280+ free n8n automation templates — ready-to-use workflows for Gmail, Telegram, Slack, Discord, WhatsApp, Google Drive, Notion, OpenAI, and more. AI agents, RAG chatbots, email automation, social media, DevOps, and document processing. The largest open-source n8n template collection.

• automation
• integration
• n8n
• n8n-automation

The Open Source Data Science Masters