davidjesusacu

Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

blog_david

David's Blog

dcgan_code

Deep Convolutional Generative Adversarial Networks

dla

DNNdiscriminator

DomainBed

DomainBed is a suite to test domain generalization algorithms

fb.resnet.torch

Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts

nips-cml-2016-poster

geometry-processing-curvature

Curvature assignment for Geometry Processing course

geometry-processing-deformation

Deformation assignment for Geometry Processing course

geometry-processing-introduction

Introductory assignment for Geometry Processing course

geometry-processing-mesh-reconstruction

Mesh Reconstruction assignment for Geometry Processing course

geometry-processing-parameterization

Parameterization assignment for Geometry Processing course

geometry-processing-registration

Registration assignment for Geometry Processing course

geometry-processing-smoothing

Smoothing assignment for Geometry Processing course

imagePresenter

learning-to-learn

Learning to Learn in TensorFlow

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

models

Models built with TensorFlow

mx-maskrcnn

An MXNet implementation of Mask R-CNN

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

ppgn

Code for paper "Plug and Play Generative Networks"

synthesizing

Code for paper "Synthesizing the preferred inputs for neurons in neural networks via deep generator networks"

toyCNNtf