Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
- agent
- claude-code
- teaching
- agent-development
55,640 visible repositories in the index
1–20 of 20 · Most stars
Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
🧑🏫 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, ... 🧠
TranslatedAiLearning: Data Analysis + Machine Learning in Action + Linear Algebra + PyTorch + NLTK + TF2
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.
A collection of projects showcasing RAG, agents, workflows, and other AI use cases
Pocket Flow: Codebase to Tutorial
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.
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.
Standard and Advanced Demos for learn.cantrill.io courses
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
Claude Code Guide - Setup, Commands, workflows, agents, skills & tips-n-tricks from beginner to power user!
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
Getting ADB, root, backups and custom apps onto locked-down Android photo frames (Skylight Calendar, BIUFRAME)
A 100-day challenge exploring IoT and embedded systems using ESP32, ESP8266, and Raspberry Pi Pico with MicroPython. Each day covers a new sensor or module with complete code, circuit diagram, and explanation.
Application of asyncio to hardware interfaces. Tutorial and code.
AI 视频制作工作流,涵盖分镜、素材、剪辑与导出。可看 AI 漫画成片,也可用仓库素材在本地重渲 Python 像素动画。
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
An E2E tutorial to create a video game controller by creating a custom pose classifier using TF Lite.