Repository Index

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

A Tutorial for Setting Python Development Environment with VScode and Docker

• docker
• pyhton3
• python
• vscode

Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano

Train and Deploy an ML REST API to predict crypto prices, in 10 steps

• deployment
• ml
• mlops
• crypto

Application of asyncio to hardware interfaces. Tutorial and code.

• micropython
• asyncio
• embedded

Data Hacking Project

A series of machine learning tutorials for Torch7

Growing the code out of your notebooks - the right way.

TranslatedChinese tutorial for Stanford CS329Z Engineering AI Agents: an AI agent course for Python developers, with 19 lectures and 4 hands-on practices, covering LLMs, RAG, tool calling, memory, multi-agent systems, evaluation, and safety. Full Markdown, online and offline HTML. Chinese course notes.

• agent-memory
• agentic-ai
• ai-agents
• chinese

Language Model GRU with Python and Theano

TranslatedA basic tutorial for getting started with AI Agents from zero background. It is not just a tutorial but also an Agent that can run locally: read and write files, execute commands, MCP, long-term memory, with a built-in web interface to see every step clearly. Starting from a minimal 100-line loop, each lesson adds one capability, and in the end it breaks down mainstream Agents such as Claude Code and Codex

• agent
• ai-agent
• chinese
• claude-code

Full tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.

Deep Learning Resources and Tutorials using Keras and Lasagne

TranslatedLLM teaching material for high school students: based on Karpathy's microgpt, for Google Colab

TranslatedBuild GPT-2 from scratch in PyTorch, step by step

• attention
• chinese
• deep-learning
• from-scratch

TranslatedAn agent development practice room based on LangGraph subgraphs: requirement clarification, user notes, document generation, and human review.

30min F# tutorial with direct code-snippet back-to-back comparisons

• python
• csharp
• fsharp
• tutorial

Bringing thousands of learners together to unpack DeepInfer through peer-reviewed explanations, documentation, and hands-on examples.

TranslatedMultimodal retrieval in practice: intent recognition, prompt engineering, Qwen LoRA, EmbeddingGemma 2, and InfoNCE contrastive learning. Includes real demos, integration of your own data, training and evaluation, and a learning guide to RAG retrieval components.

• clip
• ecommerce
• image-retrieval
• image-search

How to create a Cartoonizer Android app with TensorFlow Lite models.

• tensorflow-lite
• tflite
• computer-vision
• gans

Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.

• hyperopt
• hyperparameter-optimization
• hyperparameter-tuning
• hyperparameters-optimization

tutorials made for biologists to learn deep learning

• biologists
• keras
• deeplearning
• deep-learning