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
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🧑🏫 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
What the f*ck Python? 😱
- python
- wats
- snippets
- wtf
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.
Best Practices on Recommendation Systems
- machine-learning
- recommender
- ranking
- deep-learning
A straightforward method for training your LLM, from downloading data to generating text.
Translated🔍 Hands-on LLM Application Development, Part 1: A Full-Stack Guide to RAG Technology. Read online at: https://datawhalechina.github.io/all-in-rag/
- embedding
- kimi-k2
- langchain
- llama-index
TranslatedAirport recommendations, Clash / V2ray client configuration, and proxy tool guides
- clash
- documentation
- mihomo
- proxy
Install Jenkins, configure Docker as slave, set up cicd, deploy applications to k8s using Argo CD in GitOps way.
TranslatedSimple Reinforcement learning tutorials, 莫烦Python (Mofan Python, "don't be annoyed Python") Chinese AI teaching
- reinforcement-learning
- tutorial
- q-learning
- sarsa
A collection of machine learning examples and tutorials.
A resource for learning about Machine learning & Deep Learning
- pytorch
- pytorch-implementation
- pytorch-tutorial
- pytorch-gan
TranslatedClaude Code + OpenClaw + Codex + WorkBuddy Chinese tutorials | 50 complete tutorials + 1 quick reference card | 800,000+ characters of content | 1,500+ hands-on examples | AI Coding / Agent four-track learning path (programming + assistant + Agent + office work)
- ai-agent
- ai-assistant
- ai-tutorial
- anthropic
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
Standard and Advanced Demos for learn.cantrill.io courses
TranslatedBig data analysis project
- python
- sql
- hql
TranslatedPython web crawler tutorial that takes you from zero to one, covering JS reverse engineering, Selenium, Tesseract OCR recognition, the use of MongoDB, and the Scrapy framework
Full Stack Web Development with Flask.
A ~9M parameter LLM that talks like a small fish.
Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.
- latex
- python
- research-paper
- notation
The process of extracting product data from Amazon using Python, including titles, ratings, prices, images, and descriptions.
- amazon
- amazon-scraper
- python
- web-scraper
⚙️ A Gentle introduction to Kubernetes with more than just the basics. 🌟 Give it a star if you like it.
- docker
- kubernetes
- minikube
- python
PyTorch 官方中文教程包含 60 分钟快速入门教程,强化教程,计算机视觉,自然语言处理,生成对抗网络,强化学习。欢迎 Star,Fork!
- pytorch
- pytorch-tutorial
- pytorch-cnn
- pytorch-nlp
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