Repo for "Exploring the Connection between Robust and Generative Models"

A set of jupyter notebooks realized during the machine learning course at Sapienza University of Rome.

a fork of https://jonbarron.info/ for use in jekyll builds with markdown page updates

Comprehensive Python Cheatsheet

The official PyTorch implementation of img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation - CVPR 2021

Live training loss plot in Jupyter Notebook for Keras, PyTorch and others

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

ARMORY Adversarial Robustness Evaluation Test Bed

Code snippets created for the PyTorch discussion board

A large-scale face dataset for face parsing, recognition, generation and editing.

Encoder-Decoder for Face Completion based on Gated Convolution

A list of commonly used Git commands

PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation

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

Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019)

Latex code for making neural networks diagrams

Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.

PyTorch implementation of 1712.06087 "Zero-Shot" Super-Resolution using Deep Internal Learning

Extreme 3D Face Reconstruction: Looking Past Occlusions

An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at …

Estimate 3D face pose (6DoF) or 11 parameters of 3x4 projection matrix by a Convolutional Neural Network

End-to-end, automatic face swapping pipeline

Deep face segmentation in extremely hard conditions

Face Video Segmentation - Face segmentation ground truth from videos

C++ \ Matlab library for finding face landmarks and bounding boxes in video\image sequences.

Caffe: a fast framework for deep learning. For the most recent version checkout the dev branch. For the latest stable release checkout the master branch.

Deep Residual Learning for Image Recognition

Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network

Multi Channel-Kernel Canonical Correlation Analysis for Cross-View Person Re-Identification