21 Lessons, Get Started Building with Generative AI
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Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
- gpt
- large-language-models
- llm
- python
Examples and guides for using the OpenAI API
A latent text-to-image diffusion model
12 Weeks, 24 Lessons, AI for All!
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.
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
Learn how to develop, deploy and iterate on production-grade ML applications.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
- tensorflow
- tutorial
- examples
- deep-learning
AirLLM 2.8T LLM inference with single 4GB GPU
- chinese-nlp
- finetune
- generative-ai
- instruct-gpt
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
🔊 Text-Prompted Generative Audio Model
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org
- hacking
- penetration-testing
- hacking-series
- cybersecurity
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
Course Files for Complete Python 3 Bootcamp Course on Udemy
The fastai deep learning library
- deep-learning
- machine-learning
- pytorch
- python
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
- bayesian-methods
- pymc
- mathematical-analysis
- jupyter-notebook
A game theoretic approach to explain the output of any machine learning model.
- interpretability
- machine-learning
- deep-learning
- gradient-boosting
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
The fastai book, published as Jupyter Notebooks
- notebooks
- fastai
- deep-learning
- machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained