All repositories

An animation engine Grant Sanderson uses to make 3Blue1Brown videos, including the well-known neural network ones. It is not an AI library but a tool for explaining math and ML visually.

Who it is for

For people who want to make their own explainer videos about math and neural networks.

How to start

  1. Install: pip install manimgl (that exact name, not manim). You need Python 3.10+, FFmpeg and OpenGL.
  2. Check the install: manimgl.
  3. Run an example: manimgl example_scenes.py OpeningManimExample.

Steps are taken from the README. Check the current version in the repository before running them.

Stars over the last 30 days

+1,496Sep 6 — Oct 6
93,15094,646

Author's description

Animation engine for explanatory math videos

Shubhamsaboo

awesome-llm-apps

Growing fastest

A large collection of ready-made LLM apps: agents, RAG systems and skills for coding agents. Every template can be run and taken apart piece by piece.

141Kstars+4.8K in 30 dPython

A free 21-lesson Microsoft course that goes from generative AI basics and prompting to working applications. Each lesson ships with code.

121Kstars+2K in 30 dJupyter Notebook

Code for Sebastian Raschka's book: you build a GPT-like model in PyTorch step by step, then pretrain and finetune it. The best way to see how an LLM works inside.

106Kstars+1.8K in 30 dJupyter Notebook

A 12-week course on classic machine learning: 26 lessons and 52 quizzes. The foundation that makes modern models easier to understand.

91Kstars+1.2K in 30 dJupyter Notebook

mlabonne

llm-course

A three-part LLM roadmap: fundamentals, the LLM Scientist (building models) and the LLM Engineer (building apps). Topics come with Colab notebooks.

83Kstars+1.1K in 30 d

A Microsoft course of 18 lessons on building AI agents: tools, memory, planning, multiple agents. Code examples live in the code_samples folder.

76Kstars+2.6K in 30 dJupyter Notebook
3b1b/manim — what it is and how to start