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35 production-grade agentic AI architectures (Reflexion, LATS, GraphRAG, MemGPT, Voyager, BrowserAgent, ...) — a Python library and runnable textbook with multi-provider LLM support and a 17-task benchmark leaderboard.
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Build a modern LLM from scratch. Every line commented. Explained like we are five.
简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 | 一本简明的 TensorFlow 2 入门指导教程
This is Andrew NG Coursera Handwritten Notes.
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
Lectures on scientific computing with python, as IPython notebooks.
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
This repository is a curated collection of hands-on data science projects tailored for beginners. Whether you're just starting your journey in data science or looking to strengthen your skills, these projects provide a practical and interactive way to apply your knowledge.
🔊 Text-prompted Generative Audio Model - With the ability to clone voices
Free hands-on digital forensics labs for students and faculty
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
中文翻译的 Hands-On-Large-Language-Models (hands-on-llms)，动手学习大模型
A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
动手学Ollama，CPU玩转大模型部署，在线阅读地址：https://datawhalechina.github.io/handy-ollama/
Handout for the tutorial "Creating publication-quality figures with matplotlib"
Utility functions for handling MIDI data in a nice/intuitive way.
TensorFlow Implementation of "Show, Attend and Tell"
Official code repo for the O'Reilly Book - "An Illustrated Guide to AI Agents"
An enhanced interactive Shell for Common Lisp (based on the Jupyter protocol)
Wrapper for RDKit's RunReactants to improve stereochemistry handling