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Zack Steck's Projects

btree icon btree

C++ Class file source code for B-Tree data structure.

ccalib icon ccalib

Geometric Camera Calibration tool

detr_package icon detr_package

DETR as an installable package so it's callable from other Detectron2 Trainers.

diffusiondet icon diffusiondet

PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)

graph icon graph

C++ Class file source code for Graph data structure.

linkedlist icon linkedlist

C++ Class file source code for Linked List (Ordered) data structure.

mlflow icon mlflow

Open source platform for the machine learning lifecycle

mlflow-dbstore icon mlflow-dbstore

This repository provides a MLflow plugin that allows users to use a database (in particular SQL Server) as the artifact store for MLflow.

pytorch-image-models icon pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

randomforest icon randomforest

A Python based Random Forest grown using the CART algorithm (Mean Square Error)

singan icon singan

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

slaminstaller icon slaminstaller

SLAM installer is a simple bash script that automates the process of installing several different SLAM implementations alongside ROS Indigo (Ubuntu 14.04).

solaris icon solaris

CosmiQ Works Geospatial Machine Learning Analysis Toolkit

sptracker icon sptracker

An app suite for Assetto Corsa, focused on stats and setups

stylize-datasets icon stylize-datasets

A script that applies the AdaIN style transfer method to arbitrary datasets

tecogan icon tecogan

This repo will contain source code and materials for the TecoGAN project, i.e. code for a TEmporally COherent GAN

vfc icon vfc

Extracts frames from video files. Useful tool for prepping SLAM datasets!

vq-vae-2-pytorch icon vq-vae-2-pytorch

Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch

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