Lists (2)
Sort Name ascending (A-Z)
- All languages
- ASL
- Assembly
- Batchfile
- Bikeshed
- C
- C#
- C++
- CMake
- CSS
- CartoCSS
- Clojure
- CoffeeScript
- Dart
- Dockerfile
- EJS
- F#
- Fortran
- GDScript
- GLSL
- Go
- HTML
- Java
- JavaScript
- Julia
- Jupyter Notebook
- Just
- Kotlin
- LLVM
- Lua
- Makefile
- Markdown
- Mermaid
- Mustache
- NSIS
- Nim
- Nix
- Objective-C
- PHP
- PLpgSQL
- POV-Ray SDL
- Perl
- PowerShell
- Python
- QML
- R
- Roff
- Ruby
- Rust
- SCSS
- SWIG
- Scala
- Shell
- Svelte
- Swift
- SystemVerilog
- TypeScript
- VBA
- Vim Script
- Vue
- WebAssembly
- Zig
- reStructuredText
Starred repositories
A latent text-to-image diffusion model
Examples and guides for using the OpenAI API
12 Lessons to Get Started Building AI Agents
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
12 Weeks, 24 Lessons, AI for All!
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
A simple screen parsing tool towards pure vision based GUI agent
面向开发者的 LLM 入门教程,吴恩达大模型系列课程中文版
100-Days-Of-ML-Code中文版
Neural Networks: Zero to Hero
Instruct-tune LLaMA on consumer hardware
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
Examples and guides for using the Gemini API
本项目是一个面向小白开发者的大模型应用开发教程,在线阅读地址:https://datawhalechina.github.io/llm-universe/
Official inference library for Mistral models
FaceChain is a deep-learning toolchain for generating your Digital-Twin.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small langua…
Get started learning C# with C# notebooks powered by .NET Interactive and VS Code.
GeostatsPy Python package for spatial data analytics and geostatistics. Started as a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) from Fortran to Python, Geostatist…
Open-source Jupyter Notebooks and Python tools for geospatial analysis with Digital Earth Australia, Open Data Cube, and Xarray
Notebooks and libraries for spatial/geo Python explorations
This is a Semantic Kernel's book for beginners
Poorly written code that generates moderately exciting plots of a very specific physics phenomenon that enthralls dozens of us around the globe.
Guide to methods for generating and testing Cloud-Optimized Geospatial Formats
A collection of C# notebooks to get you started with Semantic Kernel quickly.
Speech Diarization for scrum automation
Best practices with cloud-optimized-geotiffs (COGs)