tomassa Goto Github PK

agu2017

Content for my AGU 2017 presentations.

batch-shipyard

Provision, execute, and monitor batch and HPC container workloads on Azure Batch

breast_cancer_classifier

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

caffe

This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors (HSW+) and Intel® Xeon Phi processors

coronavirus_data

darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

deep-learning-for-satellite-imagery

Deep learning courses and projects

deeposm

Train a deep learning net with OpenStreetMap features and satellite imagery.

exploring-loss

fastai-v3

Starter app for fastai v3 model deployment on Render

fastbook

Draft of the fastai book

gid_scripts

hello-world

tutorial

image_tabular

Integrate image and tabular data for deep learning

many-to-many-dijkstra

A predictive model developed to identify medium-voltage electrical distribution grid infrastructure using publicly available data sources.

ml-dl-projects

Personal projects using machine learning and deep learning techniques

my-gh-importer-labs

my-gh-importer-labs

nofainsert

QGIS plugin for batch inserting Darwin Core fish occurrence data into Norwegian Fish Atlas (NOFA) database.

notes

objectdetection

Some experiments with object detection in PyTorch

osmnx-examples

Examples, demos, and tutorials demonstrating the usage of OSMnx

pangeo-example-notebooks

Jupyter notebooks for use with pangeo-data/helm-chart

practical-deep-learning-for-coders

Material for my run of Fast.AI

predicting-poverty

Combining satellite imagery and machine learning to predict poverty

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

quickdraw

satellite-image-deep-learning

Resources for performing deep learning on satellite imagery

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

streamlit-example

Example Streamlit app that you can fork to test out share.streamlit.io

timeseriesai

Practical Deep Learning for Time Series / Sequential Data library based on fastai v2/ Pytorch