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imaginaire

NVIDIA's Deep Imagination Team's PyTorch Library

intro_continual_learning

This is a tutorial to connect the fundamental mathematics to a practical implementation addressing the continual learning problem of artificial intelligence

labelimg

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

learnopencv

Learn OpenCV : C++ and Python Examples

lernapparat

Various Notebooks for Lernapparat.de

lora

Using Low-rank adaptation to quickly fine-tune diffusion models.

machine_learning_examples

A collection of machine learning examples and tutorials.

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

mixup-cifar10

mixup: Beyond Empirical Risk Minimization

ml-from-scratch

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

models

Models and examples built with TensorFlow

moleculex

multidiffusion

Official Pytorch Implementation for "MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation" presenting "MultiDiffusion" (ICML 2023)

multiscale-adversarial-attention-gates

Code for the paper: Valvano G. et al. (2021), Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates

munit

Multimodal Unsupervised Image-to-Image Translation

neural-network-architecture-diagrams

Diagrams for visualizing neural network architecture (Created with diagrams.net)

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

nn

A collection of PyTorch implementations of neural network architectures and layers.

notebooks

machine learning and computer vision is just algorithms and data structures with more fancy properties. be real about the hype

odise

Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]

overcoming-catastrophic

Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow

pcv

Open source Python module for computer vision

peterroelants.github.io

Blog

picogpt

An unnecessarily tiny implementation of GPT-2 in NumPy.

pix2pix-zero

Zero-shot Image-to-Image Translation [SIGGRAPH 2023]

pix2pix3d

pix2pix3D: Generating 3D Objects from 2D User Inputs

pixel2style2pixel

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021)

plotneuralnet

Latex code for making neural networks diagrams

pycontrast

PyTorch implementation of Contrastive Learning methods; List of awesome-contrastive-learning papers

pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)