Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
- agent
- claude-code
- teaching
- agent-development
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The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
- deep-learning
- deep-learning-tutorial
- pytorch
- gan
TranslatedAiLearning: Data Analysis + Machine Learning in Action + Linear Algebra + PyTorch + NLTK + TF2
- fp-growth
- apriori
- mahchine-leaning
- naivebayes
A resource for learning about Machine learning & Deep Learning
- pytorch
- pytorch-implementation
- pytorch-tutorial
- pytorch-gan
Standard and Advanced Demos for learn.cantrill.io courses
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
TranslatedThis is a step-by-step guide to getting started with AI/LLM large models, including tutorials and demo code, taking you from APIs to local large model deployment and fine-tuning. The code files come with Kaggle or Colab online versions, so you can learn even without a graphics card. The project also has a small code playground 🎡 where you can try out some interesting AI scripts. It also includes complete Chinese mirror assignments for Hung-Yi Lee's (HUNG-YI LEE) 2024 Introduction to Generative AI course.
Deep Learning Tutorial notes and code. See the wiki for more info.
Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.
- latex
- python
- research-paper
- notation
Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.
0 - 1 learn OpenClaw: sections to build an claw-AI agent from scratch
The process of extracting product data from Amazon using Python, including titles, ratings, prices, images, and descriptions.
- amazon
- amazon-scraper
- python
- web-scraper
Learn step-by-step how to scrape Google Trends data and make a result comparison using Python and Oxylabs SERP API. Extract keywords, their popularity, breakdown by region, related queries, and more.
- google-trend
- google-trend-api
- google-trend-strategy
A best practices guide for day 2 operations, including operational excellence, security, reliability, performance efficiency, and cost optimization.
A guide for extracting titles, authors, and citations from Google Scholar using Python and Oxylabs SERP Scraper API.
- google-scholar
- google-scholar-scraper
- python
- python-scraper
A code for extracting best-selling items, search results, and currently available deals from Amazon using Python and Oxylabs E-Commerce Scraper API.
- amazon
- amazon-scraper
- api
- python
Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
- pytorch
- reinforcement-learning
- dqn
- rainbow
Reproducing and studying RL algorithms for LLM agents, including GRPO, GSPO, DAPO, OPD, Search-R1, ReTool, ALFWorld and beyond.
- agent-rl
- dapo
- gspo
- opd
Learn cloud security by building it! An open-source homelab teaching Zero Trust, DevSecOps, IaC, and cloud architecture from the ground up.