A book series (2 published editions) on the JS language.
- book-series
- javascript
- closures
- prototypes
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A book series (2 published editions) on the JS language.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Learn how to develop, deploy and iterate on production-grade ML applications.
This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.
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
Translated:star2: Wiki of OI / ICPC for everyone. (An online walkthrough for a certain large game, containing cool arithmetic magic)
TranslatedThis project aims to share the technical principles of large models and practical experience (large model engineering, large model application deployment).
TranslatedFull-stack engineer training materials
Machine Learning Engineering Open Book
Pragmatic, balanced FP in JavaScript. @FLJSBook on twitter.
Learning Vim and Vimscript doesn't have to be hard. This is the guide that you're looking for 📖
Beginner, advanced, expert level Rust training material
TranslatedLlama Chinese community: compiles the latest Llama learning materials in real time and builds the best open-source ecosystem of Chinese Llama large models, fully open source and commercially usable
Python training for business analysts and traders
Go Training Class Material :
The official GitHub page for the survey paper "A Survey of Large Language Models".
open source training courses about distributed database and distributed systems
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
TranslatedChinese version of the official Android training course
Training for Golang (go language)
TranslatedOpen-source manuscript of 《深入理解 AI Infra:量化分析与系统设计》 (In-Depth Understanding of AI Infra: Quantitative Analysis and System Design), by 李博杰 (Li Bojie): starting from hardware constraints and model architecture, it quantitatively derives the system design of LLM inference and training. Includes the full text of the book, a PDF, and companion calculation tools and experiments
A curated list of awesome infosec courses and training resources.
A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.
MiniOB is a compact database that assists developers in understanding the fundamental workings of a database.