A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
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In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
llama3 implementation one matrix multiplication at a time
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
- pytorch
- pytorch-tutorials
- pytorch-tutorials-cn
- deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
- deep-learning
- mit
- self-driving-cars
- deep-reinforcement-learning
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
TranslatedBuild your neural network easy and fast, 莫烦Python (Morvan Python) Chinese teaching
- neural-network
- python
- pytorch-tutorial
- batch-normalization
Collection of notebooks about quantitative finance, with interactive python code.
- quantitative-finance
- jupyter-notebooks
- kalman-filter
- option-pricing
TranslatedAI in Practice - practicalAI, Chinese version
- machine-learning
- jupyter-notebook
- pytorch
- google-colab-notebook
From the basics to slightly more interesting applications of Tensorflow
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
- machine-learning
- deep-learning
- lstm
- human-activity-recognition
Quantitative analysis, strategies and backtests
- quantitative-finance
- quantitative-trading
- portfolio-management
- risk-management
TranslatedCAPTCHA recognition
- captcha-breaking
- keras-tutorials
- deep-learning
- keras
Handout for the tutorial "Creating publication-quality figures with matplotlib"
CatBoost tutorials repository
- catboost
- tutorials
- ipython-notebook
- ipython
TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
- seq2seq
- tensorflow
- tensorflow-tutorials
- python
How to create a Cartoonizer Android app with TensorFlow Lite models.
- tensorflow-lite
- tflite
- computer-vision
- gans
TranslatedA tiny Transformer built from scratch in PyTorch, with an English-to-Chinese translation demo | A small Transformer implemented from scratch with PyTorch, with an English-to-Chinese translation demo, to help understand how the model works
- attention-mechanism
- deep-learning
- educational
- from-scratch