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A Generative Adversarial Network (GAN) trained on the MNIST dataset, capable of creating fake but realistic looking MNIST digit images that appear to be drawn from the original dataset.
High-Resolution Image Synthesis with Latent Diffusion Models
Text to Image Latent Diffusion using a Transformer core
Self-contained, minimalistic implementation of diffusion models with Pytorch.
Pytorch implementation of paper "Autoencoding beyond pixels using a learned similarity metric"
Implementation of "Autoencoding beyond pixels using a learned similarity metric" using Pytorch
Small python-gtk application, which helps the user to merge or split PDF documents and rotate, crop and rearrange their pages using an interactive and intuitive graphical interface.
Using conditional variational autoencoders to manipulate the images
MARS5 speech model (TTS) from CAMB.AI
VIP cheatsheets for Stanford's CS 229 Machine Learning
p5_VehicleDetection_Unet
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Implementing a Neural Network from Scratch
Advanced Topics in Artificial Intelligence, NUS CS6208, 2023
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
Bringing Old Photo Back to Life (CVPR 2020 oral)
Neural Networks: Zero to Hero
A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2024 without ANY background in the field and stay up-to-date with the latest news and state-of-the-ar…
Build a deep learning workstation from scratch (HW & SW).
tutorial for writing custom pytorch cpp+cuda kernel, applied on volume rendering (NeRF)
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
🔺😎 A curated list of awesome stuff to learn computer graphics
A curated list of awesome computer vision resources
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
A list of space exploration related books (some are online, some are on paper)
A curated list of science- and engineering related repositories on GitHub and in neighboring counties