Pinned Repositories
FilterTest
Test out different Python filters
MachineLearningBasedFlowCytometry
MULTI-CHANNEL-UNET
Keras pipeline to acheive multi-class segmentation
python_convolution_project
Simple test of pytorch implementation of mnist dataset training, utilizing pytorch.
PyTorchUNET-main-fromGitHub
rust_convolution_project
Understanding how convolutions can be implemented in rust
SentimentAnalysisProject
Two CNN's were paried in tandem; one CNN inferenced an audio clipping while the other CNN inferenced a series of video frames; the emotion of each dataset was assessed.
SpykeTorch
High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.
TFLiteObjectDetection
Transformer
Transformer seq2seq model, program that can build a language translator from parallel corpus
noahvandal's Repositories
noahvandal/FilterTest
Test out different Python filters
noahvandal/MachineLearningBasedFlowCytometry
noahvandal/MULTI-CHANNEL-UNET
Keras pipeline to acheive multi-class segmentation
noahvandal/python_convolution_project
Simple test of pytorch implementation of mnist dataset training, utilizing pytorch.
noahvandal/PyTorchUNET-main-fromGitHub
noahvandal/rust_convolution_project
Understanding how convolutions can be implemented in rust
noahvandal/SentimentAnalysisProject
Two CNN's were paried in tandem; one CNN inferenced an audio clipping while the other CNN inferenced a series of video frames; the emotion of each dataset was assessed.
noahvandal/SpykeTorch
High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.
noahvandal/TFLiteObjectDetection
noahvandal/Transformer
Transformer seq2seq model, program that can build a language translator from parallel corpus
noahvandal/unet
unet for image segmentation
noahvandal/UNet-Multiclass
This repository contains code used to train U-Net on a multi-class segmentation dataset.
noahvandal/WeatherGRU
A GRU to predict weather patterns; from a tutorial
noahvandal/YOLO-v4_OT
The yolo-v4 object detection framework with object tracking; from a tutorial