notes for software engineers getting up to speed on new AI developments. Serves as datastore for https://latent.space writing, and product brainstorming, but has cleaned up canonical references und…

Machine Learning Engineering Open Book

Infinite Photorealistic Worlds using Procedural Generation

Pythonic AI generation of images and videos

The simplest, fastest repository for training/finetuning medium-sized GPTs.

This repo includes ChatGPT prompt curation to use ChatGPT better.

A collection of resources and papers on Diffusion Models

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch

I am trying to describe complex matters in simple doodles!

Pretrained language model with 100B parameters

DALL·E Mini - Generate images from a text prompt

Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks…

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media

Sioyek is a PDF viewer with a focus on textbooks and research papers

Python implementation of Aaron Hertzmann's Painterly Rendering with Curved Brush Strokes of Multiple Sizes (SIGGRAPH 98)

(subjective) overview of projects which are related both to python and semantic technologies (RDF, OWL, Reasoning, ...)

The Cyber Swiss Army Knife - a web app for encryption, encoding, compression and data analysis

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced research…

How to build your own AI art installation from scratch

This repository contains all code snippets and reports for a master's degree thesis focused on automatic Alzheimer diagnosis using Deep Learning and MRI images

🌎 machine learning tutorials (mainly in Python3)

Code and associated files for the deploying ML models within AWS SageMaker

Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.

I'm challenging to myself to learn Machine Learning Algorithms, as much as I can within 2 months

🏆 A ranked list of awesome machine learning Rust libraries.

📚 A public list of APIs from round the web.

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101