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
🧠 Train a 64M-parameter LLM from scratch in just 2h!
A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
TranslatedAiLearning: Data Analysis + Machine Learning in Action + Linear Algebra + PyTorch + NLTK + TF2
- fp-growth
- apriori
- mahchine-leaning
- naivebayes
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.
TranslatedA Python web scraping tutorial series, learning Python web scraping from 0 to 1, including browser packet capture and mobile APP packet capture with tools such as fiddler and mitmproxy, the use of the various modules involved in web scraping, such as requests, beautifulSoup, selenium, appium, scrapy, etc., as well as IP proxies, CAPTCHA recognition, using Mysql and MongoDB databases with Python, multi-threaded and multi-process scraping, reverse engineering and cracking of CSS scraping encryption, JS scraping reverse engineering, distributed scraping, practical scraping project examples, etc.
- python3
- python-script
- python-spider
Best Practices on Recommendation Systems
- machine-learning
- recommender
- ranking
- deep-learning
A collection of projects showcasing RAG, agents, workflows, and other AI use cases
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
A straightforward method for training your LLM, from downloading data to generating text.
TranslatedMachine learning tutorials
Pocket Flow: Codebase to Tutorial
TranslatedAirport recommendations, Clash / V2ray client configuration, and proxy tool guides
- clash
- documentation
- mihomo
- proxy
An educational resource to help anyone learn deep reinforcement learning.
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.
👀 Train a 65M-parameter VLM from scratch in just 2h!
- artificial-intelligence
- chatgpt
- vision-language-model
A resource for learning about Machine learning & Deep Learning
- pytorch
- pytorch-implementation
- pytorch-tutorial
- pytorch-gan
TranslatedThe essence edition of getting started with web crawlers in Python
TranslatedA tutorial and implement of disease centered Medical knowledge graph and qa system based on it. Knowledge graph construction, automatic question answering, KG-based automatic question answering. A medium-scale medical-domain knowledge graph centered on diseases, which is used to provide automatic question answering and analysis services.