A latent text-to-image diffusion model

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Google Research

This repository contains demos I made with the Transformers library by HuggingFace.

Best Practices, code samples, and documentation for Computer Vision.

COCO API - Dataset @ http://cocodataset.org/

"Probabilistic Machine Learning" - a book series by Kevin Murphy

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.

Scenarios, tutorials and demos for Autonomous Driving

Repository containing notebooks of my posts on Medium

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

MagFace: A Universal Representation for Face Recognition and Quality Assessment, CVPR2021, Oral

[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2…

Public release of the Image Matching Benchmark: https://image-matching-challenge.github.io

Face Renderer to perform Domain (Face) Specific Data Augmentation

A Simple pytorch implementation of GradCAM and GradCAM++

Structured Inference Networks for Nonlinear State Space Models

Design your own matplotlib stylefile interactively

Hooks for VCOCO

Convert Open Images annotations into MS Coco format to make it a drop in replacement

repository of "Towards High-Fidelity Single-view Holistic Reconstruction of Indoor Scenes" ECCV2022

B-cos Networks: Alignment is All we Need for Interpretability

Code for calculating the upper bound AP in object detection

Neural Network Bayesian Kernel Inference.

Augmenting existing datasets of traffic signs by using a Generative Adversarial Network to create synthetic images that will increase the accuracy and generalization ability of classification models.