Repository Index

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

• 30-days-of-python
• python
• flask
• github

🧑‍🏫 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

🧠 Train a 64M-parameter LLM from scratch in just 2h!

• artificial-intelligence
• large-language-model

TranslatedAiLearning: Data Analysis + Machine Learning in Action + Linear Algebra + PyTorch + NLTK + TF2

• fp-growth
• apriori
• mahchine-leaning
• naivebayes

A collection of machine learning examples and tutorials.

• deep-learning
• machine-learning
• reinforcement-learning
• python

👀 Train a 65M-parameter VLM from scratch in just 2h!

• artificial-intelligence
• chatgpt
• vision-language-model

The most comprehensive Claude Code guide: agentic workflows, hooks, skills, MCP servers, quizzes, and production-ready templates. 430K+ lines.

• agentic-coding
• ai-assistant
• ai-coding
• ai-pair-programming

Ultimate Python study guide 🐍 🐍 🐍

• python
• python3
• study
• programming-language

Video+code lecture on building nanoGPT from scratch

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

• pytorch
• pytorch-tutorial
• object-detection
• single-shot-multibox-detector

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
• google-trend
• google-trend-api
• google-trend-strategy

Simple and comprehensive tutorials in TensorFlow

• deep-learning
• tensorflow
• reinforcement-learning
• machine-learning

🐎 Ryan Lopopolo’s anthology, field guide, and agent context bundle for harness engineering

Bringing thousands of learners together to unpack DeepInfer through peer-reviewed explanations, documentation, and hands-on examples.

TranslatedMultimodal retrieval in practice: intent recognition, prompt engineering, Qwen LoRA, EmbeddingGemma 2, and InfoNCE contrastive learning. Includes real demos, integration of your own data, training and evaluation, and a learning guide to RAG retrieval components.

• clip
• ecommerce
• image-retrieval
• image-search