Toturials coming with the "data science roadmap" picture.
Repository Index
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The Leek group guide to data sharing
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
How to implement Stripe without going mad
TranslatedAI for All: The First Systematic Vibe Coding Tutorial | From Zero to Full-Stack, Bring Your Ideas to Life | Live at: www.vibevibe.cn
- agent
- agentic-ai
- ai
- coding-assistant
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
TranslatedWith only a Python foundation, build your own embodied intelligence robot from scratch; step by step from scratch, build VLA/OpenVLA/SmolVLA/Pi0, and gain a deep understanding of embodied intelligence
- embodied-agent
- embodied-ai
- embodied-intelligence
- openvla
:earth_americas: machine learning tutorials (mainly in Python3)
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
Reproducing and studying RL algorithms for LLM agents, including GRPO, GSPO, DAPO, OPD, Search-R1, ReTool, ALFWorld and beyond.
- agent-rl
- dapo
- gspo
- opd
Linux Binary Exploitation
- linux
- binaries
- exploitation
- stackoverflow
This repository is a getting started guide to Singer.
- etl
- etl-framework
- python
- singer
CatBoost tutorials repository
- catboost
- tutorials
- ipython-notebook
- ipython
TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data
Data Hacking Project
🔐 A detailed example for how to encrypt data in an Elixir (Phoenix v1.7) App before inserting into a database using Ecto Types
- learn
- elixir
- phoenix
- encryption
👃 Crack open your old Game Boy and peek at the LCD data bus.
- game-boy-hardware
- game-boy
- gameboy
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
Big Data essentials: Hadoop, MapReduce, Spark. Explore tutorials and demos in Jupyter notebooks—most are self-contained and live, ready to run with a click.
A visualizer for GTFS-realtime transit data.
The repo provides instructions on deploying CloudPakforData on the public cloud.
In this project, you will learn how to pull datas from supabase to google sheets in a matter of minute
Simple Todo tutorial using Pocketbase+React in Realtime. 🪄
- pocketbase
- react
- realtime-database
- tutorial