Erickson Nascimento

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Research code of ICCV 2021 paper "Mesh Graphormer"

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conference.

Deep Reinforcement Learning for Keras.

Open-source implementation of MSR Hyperlapse

My personal note about local and global descriptor

PRML algorithms implemented in Python

Implementation of GAN using pytorch

The source for the ebook Ray Tracing in One Weekend by Peter Shirley. This work is in the public domain.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

The "Python Machine Learning (2nd edition)" book code repository and info resource

Tools for loading standard data sets in machine learning

Efficient C++ implementation of mesh-to-mesh and mesh-to-point distance.

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Marching cubes (and related tools) for Python

Keras implementation of a ResNet-CAM model

Source code for the Sketch Modeling project: reconstruct a 3D shape from line drawing sketches.

:wrench: .files, including ~/.macos — sensible hacker defaults for macOS

A curated list of papers & ressources linked to 3D reconstruction from images.

A self driving car in GTAV that uses the Xception deep neural network model with DeepGTAV

Scripts and tools to easily communicate with DeepGTAV. In the future a self-driving agent will be implemented.

A plugin for GTAV that transforms it into a vision-based self-driving car research environment.