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List of Computer Science courses with video lectures.
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
Generative AI on Google Cloud with LangChain, Published by Packt
My solutions to Leetcode Problems: Categorized based on the data structures, algorithms, and tricks used to solve them.
200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.
Python package for scraping soccer data from a variety of sources
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Turns Data and AI algorithms into production-ready web applications in no time.
The official PyTorch implementation of Google's Gemma models
lightweight, standalone C++ inference engine for Google's Gemma models.
A list of back-end related questions you can be inspired from to interview potential candidates, test yourself or completely ignore
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
We write your reusable computer vision tools. 💜
Understanding Deep Learning - Simon J.D. Prince
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
LlamaIndex is the leading document agent and OCR platform
A Dataset of Python Challenges for AI Research
Super Repository for Coding Interview Preperation
A curated list of awesome places to learn and/or practice algorithms.
Source code of a multiple series of tutorials about the hypervisor. Available at: https://rayanfam.com/tutorials
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
😎 Awesome lists about all kinds of interesting topics
Automatically exported from code.google.com/p/sports-1m-dataset
A collection of (mostly) technical things every software developer should know