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,…

Low-code framework for building custom LLMs, neural networks, and other AI models

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

CLI platform to experiment with codegen. Precursor to: https://lovable.dev

[ICCV 2023 Oral] Text-to-Image Diffusion Models are Zero-Shot Video Generators

[ICLR 2023] "Learning to Grow Pretrained Models for Efficient Transformer Training" by Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogerio Feris, David …

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

A playbook for systematically maximizing the performance of deep learning models.

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions