Lists (1)
Sort Name ascending (A-Z)
Stars
- All languages
- AGS Script
- Adblock Filter List
- Assembly
- Batchfile
- Bicep
- Bikeshed
- Blade
- C
- C#
- C++
- CMake
- CSS
- Clojure
- CoffeeScript
- Crystal
- Cuda
- Dart
- Dockerfile
- Elixir
- Elm
- Emacs Lisp
- Erlang
- GLSL
- Gherkin
- Go
- Go Template
- Groovy
- HCL
- HLSL
- HTML
- Haml
- Handlebars
- Haskell
- Haxe
- Java
- JavaScript
- Jinja
- Jsonnet
- Julia
- Jupyter Notebook
- Kotlin
- LLVM
- Lua
- MDX
- MLIR
- Makefile
- Markdown
- Mojo
- Mustache
- NSIS
- Nim
- Nix
- Nunjucks
- OCaml
- Objective-C
- PHP
- Perl
- PowerShell
- Python
- QML
- R
- Rich Text Format
- Ruby
- Rust
- SCSS
- Scala
- Shell
- Smarty
- Starlark
- Svelte
- Swift
- SystemVerilog
- TSQL
- Tcl
- TeX
- TypeScript
- V
- Vala
- Vim Script
- Vue
- WebAssembly
- Zig
Python - 100天从新手到大师
21 Lessons, Get Started Building with Generative AI
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Examples and guides for using the OpenAI API
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 Lessons to Get Started Building AI Agents
Python Data Science Handbook: full text in Jupyter Notebooks
Learn how to design, develop, deploy and iterate on production-grade ML applications.
12 Weeks, 24 Lessons, AI for All!
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
This is a repo with links to everything you'd ever want to learn about data engineering
🔊 Text-Prompted Generative Audio Model
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼
10 Weeks, 20 Lessons, Data Science for All!
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Anthropic's Interactive Prompt Engineering Tutorial
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
A game theoretic approach to explain the output of any machine learning model.
A simple screen parsing tool towards pure vision based GUI agent
Python programs, usually short, of considerable difficulty, to perfect particular skills.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
面向开发者的 LLM 入门教程,吴恩达大模型系列课程中文版
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A guidance language for controlling large language models.
A High-Quality Real Time Upscaler for Anime Video
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"