Pinned Repositories
denseFlow_GPU
Denseflow_GPU modified for opencv4 and with simplified operation
dy_common
Some common functions for personal use
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
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
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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
spp
A minimal and easy-to-understand implementation of spatial pyramid pooling in pytorch
structured_label_inference
An implementation of the BINN hierarchical inference head from "Structured Label Inference for Visual Understanding"
daveboat's Repositories
daveboat/denseFlow_GPU
Denseflow_GPU modified for opencv4 and with simplified operation
daveboat/multitask-image-classification-keras-example
An example/toy model demonstrating multitask (multi-head) classification of images using keras
daveboat/OpenCV_Ubuntu_Instructions
Some directions for compiling opencv on ubuntu 18.04, mostly to remind myself
daveboat/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
daveboat/spp
A minimal and easy-to-understand implementation of spatial pyramid pooling in pytorch
daveboat/dy_common
Some common functions for personal use
daveboat/golfspin_matlab
Modeling and simulation of the effect of CW radar on the spin of a golf ball in flight
daveboat/interview_prep
Preparation material for software engineering/machine learning interviews
daveboat/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
daveboat/structured_label_inference
An implementation of the BINN hierarchical inference head from "Structured Label Inference for Visual Understanding"
daveboat/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"
daveboat/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.
daveboat/coke_pepsi
A toy model for classification with tensorflow 2.0, for demonstration purposes
daveboat/d2go
D2Go is a toolkit for efficient deep learning
daveboat/daveboat.github.io
Dave's blog
daveboat/golfclubnet
a toy (practice) model for classifying golf clubs
daveboat/google-research
Google Research
daveboat/Keras-FasterRCNN
keras implementation of Faster R-CNN
daveboat/keras-frcnn
daveboat/lime
Lime: Explaining the predictions of any machine learning classifier
daveboat/pytorch-retinanet
Pytorch implementation of RetinaNet object detection.
daveboat/torch_gan_example
A quick example of training a convolutional GAN on MNIST digits
daveboat/Ubuntu_CUDA_Instructions
Some directions (mainly for my own use) for how to set up CUDA, CUDnn for deep learning on Ubuntu 18.04