CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Image restoration with neural networks but without learning.

Book about interpretable machine learning

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

Text recognition (optical character recognition) with deep learning methods, ICCV 2019

Scenarios, tutorials and demos for Autonomous Driving

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

🛁 Clean Code concepts adapted for machine learning and data science. Now a free video series 😎 https://bit.ly/2yGDyqT

TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets

PyTorch implementation of Tacotron speech synthesis model.

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

Code release for "HashNet: Deep Learning to Hash by Continuation" (ICCV 2017)

[ICCV 2023] Few shot font generation via transferring similarity guided global and quantization local styles

Official PyTorch implementation of "Large-scale Bilingual Language-Image Contrastive Learning" (ICLRW 2022)

Materials for a course on scikit-learn at ENSAE