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David Yan's Projects

cnn_vis icon 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 icon coke_pepsi

A toy model for classification with tensorflow 2.0, for demonstration purposes

d2go icon d2go

D2Go is a toolkit for efficient deep learning

denseflow_gpu icon denseflow_gpu

Denseflow_GPU modified for opencv4 and with simplified operation

golfspin_matlab icon golfspin_matlab

Modeling and simulation of the effect of CW radar on the spin of a golf ball in flight

interview_prep icon interview_prep

Preparation material for software engineering/machine learning interviews

lime icon lime

Lime: Explaining the predictions of any machine learning classifier

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch_focal_loss icon 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 icon spp

A minimal and easy-to-understand implementation of spatial pyramid pooling in pytorch

structured_label_inference icon structured_label_inference

An implementation of the BINN hierarchical inference head from "Structured Label Inference for Visual Understanding"

ubuntu_cuda_instructions icon ubuntu_cuda_instructions

Some directions (mainly for my own use) for how to set up CUDA, CUDnn for deep learning on Ubuntu 18.04

vssimex_pnp icon 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"

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