A list of AI autonomous agents
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This repository started out as a learning in public project for myself and has now become a structured learning map for many in the community. We have 3 years under our belt covering all things DevOps, including Principles, Processes, Tooling and Use Cases surrounding this vast topic.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
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
A playbook for systematically maximizing the performance of deep learning models.
:memo: An awesome Data Science repository to learn and apply for real world problems.
A simple guide to HTML <head> elements
- html5
- head
- meta-tags
- reference
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
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.
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
If you want to become good at AI engineering & system design, join this newsletter 👇
- computer-science
- interview-questions
- software-engineering
- system-design
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.
A curated list of awesome Deep Learning tutorials, projects and communities.
Helping you select a JavaScript framework - Todo apps for React.js, Angular, Vue and many more
TranslatedLearn step by step: Spring Boot, Spring Boot & Shiro, Spring Batch, Spring Cloud, Spring Cloud Alibaba, Spring Security & Spring Security OAuth2. Source code for the blog's Spring series: https://mrbird.cc
- spring-boot
- springboot
- learning
- shiro
A complete daily plan for studying to become a machine learning engineer.
- machine-learning
- deep-learning
- artificial-intelligence
- software-engineer
Learn Low Level Design (LLD) and prepare for interviews using free resources.
- awesome
- design-patterns
- interview
- interview-practice
😱 Falsehoods Programmers Believe in
- falsehoods
- phone-number
- geography
- postal-addresses
List of 1000 JavaScript Interview Questions
- javascript
- javascript-interview-questions
- javascript-applications
- vanilla-javascript
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
Awesome-LLM: a curated list of Large Language Model