David Yan's repositories
denseFlow_GPU
Denseflow_GPU modified for opencv4 and with simplified operation
multitask-image-classification-keras-example
An example/toy model demonstrating multitask (multi-head) classification of images using keras
OpenCV_Ubuntu_Instructions
Some directions for compiling opencv on ubuntu 18.04, mostly to remind myself
pytorch_focal_loss
An implementation of focal loss in pytorch meant to be understandable and easily swappable with nn.functional.cross_entropy and nn.CrossEntropyLoss
golfspin_matlab
Modeling and simulation of the effect of CW radar on the spin of a golf ball in flight
interview_prep
Preparation material for software engineering/machine learning interviews
structured_label_inference
An implementation of the BINN hierarchical inference head from "Structured Label Inference for Visual Understanding"
vssimex_pnp
MATLAB code used in the papers "Adaptive Time-stepping Schemes for the Solution of the Poisson-Nernst-Planck Equations" and "A Study of the Numerical Stability of an ImEx Scheme with Application to the Poisson-Nernst-Planck Equations"
cnn_vis
Some quick and dirty code which uses gradient ascent to find the input image which maximizes the output probability for a particular class.
coke_pepsi
A toy model for classification with tensorflow 2.0, for demonstration purposes
d2go
D2Go is a toolkit for efficient deep learning
daveboat.github.io
Dave's blog
golfclubnet
a toy (practice) model for classifying golf clubs
google-research
Google Research
Keras-FasterRCNN
keras implementation of Faster R-CNN
pytorch-retinanet
Pytorch implementation of RetinaNet object detection.
torch_gan_example
A quick example of training a convolutional GAN on MNIST digits
Ubuntu_CUDA_Instructions
Some directions (mainly for my own use) for how to set up CUDA, CUDnn for deep learning on Ubuntu 18.04