rasbt / LLMs-from-scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
rasbt / LLMs-from-scratch
rasbt / reasoning-from-scratch
Implement a reasoning LLM in PyTorch from scratch, step by step
Exorust / TorchLeet
LeetCode for PyTorch — 65 ML/AI interview problems from real interviews at Google, Meta, Anthropic. Jupyter notebooks, an auto-grader, and an MCP AI tutor.
calmrocks / ai-engineer-notebooks
Hands-on, framework-free Colab notebooks for the AI Engineer / Forward Deployed Engineer (FDE) skill set — model APIs, structured output, tool calling, RAG, evals-as-the-spine, agents (loop from scratch, tool design, guardrails, MCP, Skills), fine-tuning vs LoRA, prompt-injection/security, LLMOps, and customer craft. Runs on the free Groq API.
Tanu-N-Prabhu / Python
This repository helps you learn Python and Machine Learning from scratch.
Ramakm / AI-Engineering
A group of notebooks and other files which can help you learn AI from scratch.
rasbt / ai-detector-from-scratch
End-to-end project training and building AI models / LLMs to detect AI-written text
imdigitalashish / gpt-from-scratch
A single executed notebook building and training a small GPT with RoPE and a phase-aware sparse MoE experiment
RajatDandekar / build-a-world-model-from-scratch
Build a World Model from Scratch — the Vizuara AI lecture series: slides, from-scratch code, and Colab notebooks
hamza01055 / ml-from-scratch
Machine learning from scratch with Python and NumPy. Explore 12 chapters covering regression, neural networks, trees, clustering, SVMs, and autodiff with mathematical derivations, interactive notebooks, gradient verification, and 59 automated tests. No scikit-learn or PyTorch.
datawhalechina / happy-llm
A Chinese-language tutorial book that teaches LLM principles and walks through building and training a small LLaMA2-style model from scratch.
karpathy / nn-zero-to-hero
A video course with Jupyter notebooks that builds neural networks and backpropagation from scratch, from basics to Transformer language models.
duoan / TorchCode
Interactive Jupyter-based practice platform with 41 PyTorch problems, such as implementing softmax, attention, and GPT-2 from scratch, with automated grading.