The fastai deep learning library

A collection of various deep learning architectures, models, and tips

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Image restoration with neural networks but without learning.

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image genera…

Taming Transformers for High-Resolution Image Synthesis

Reference models and tools for Cloud TPUs.

Language-Agnostic SEntence Representations

Open-source demos hosted on Dash Gallery

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Fast and Easy Infinite Neural Networks in Python

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

A data visualization curriculum of interactive notebooks.

Automatic 2D-to-3D Video Conversion with CNNs

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

StyleGAN Encoder - converts real images to latent space

Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)

Multi Task Vision and Language

Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.

StyleGAN Encoder - converts real images to latent space

A library for developing deep generative models in a more concise, intuitive and extendable way

Code and models of paper " ECO: Efficient Convolutional Network for Online Video Understanding", ECCV 2018

Face Renderer to perform Domain (Face) Specific Data Augmentation

Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Importa…