ericksonrn Goto Github PK

awesome-local-global-descriptor

My personal note about local and global descriptor

awesome_3dreconstruction_list

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

basic-gan

Implementation of GAN using pytorch

deepgtav

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

dl-workshop-series

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

dotfiles

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

handson-ml2

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.

hyperlapse

Open-source implementation of MSR Hyperlapse

keras-rl

Deep Reinforcement Learning for Keras.

lab-guide

mesh-evaluation

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

meshgraphormer

Research code of ICCV 2021 paper "Mesh Graphormer"

numerical-linear-algebra

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

observations

Tools for loading standard data sets in machine learning

oreilly-rl-tutorial

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

poisson-image-editing

prml

PRML algorithms implemented in Python

pymcubes

Marching cubes (and related tools) for Python

pyrender

python-machine-learning-book-2nd-edition

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

raytracinginoneweekend

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

resnetcam-keras

Keras implementation of a ResNet-CAM model

santosnet

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

sketchmodeling

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

vpilot

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