Lists (4)
Sort Name ascending (A-Z)
Stars
- All languages
- AMPL
- Astro
- Awk
- Batchfile
- Bicep
- Bru
- C
- C#
- C++
- CSS
- CUE
- Clojure
- Crystal
- Dockerfile
- Elixir
- F#
- Go
- Groovy
- HCL
- HTML
- Haskell
- Java
- JavaScript
- Jsonnet
- Jupyter Notebook
- Kotlin
- Lua
- MDX
- Makefile
- Mermaid
- Mustache
- PLpgSQL
- PowerShell
- Pug
- Python
- R
- Rich Text Format
- Ruby
- Rust
- SCSS
- SQL
- Scala
- Shell
- Smarty
- Starlark
- Svelte
- Swift
- TSQL
- TeX
- TypeScript
- Vim Script
- Vue
- YAML
21 Lessons, Get Started Building with Generative AI
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Examples and guides for using the OpenAI API
12 Lessons to Get Started Building AI Agents
10 Weeks, 20 Lessons, Data Science for All!
Anthropic's Interactive Prompt Engineering Tutorial
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
๐ค Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Sweep: AI coding assistant for JetBrains
Recipes for using Python's pandas library
The fastest way to create an HTML app
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
Create delightful software with Jupyter Notebooks
Collection of useful data science topics along with articles, videos, and code
Lectures on scientific computing with python, as IPython notebooks.
๐ Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts.
๐ Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
A comprehensive guide to building RAG-based LLM applications for production.
A set of LangChain Tutorials from my youtube channel
Efficient Python Tricks and Tools for Data Scientists
The repository for all Azure OpenAI Samples complementing the OpenAI cookbook.
A set of LLM Tutorials from my youtube channel
A repository of code samples for Vector search capabilities in Azure AI Search.