David Acuna's repositories
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
fb.resnet.torch
Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts
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
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.
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
synthesizing
Code for paper "Synthesizing the preferred inputs for neurons in neural networks via deep generator networks"