morganmcg1 / Kaggle_rsna_2nd_place_solution
Notebooks to accompany the blog posts about the 2nd place Kaggle RSNA winners: https://github.com/darraghdog/rsna
Stars: ✭ 30
Labels
Projects that are alternatives of or similar to Kaggle rsna 2nd place solution
Downloadconceptualcaptions
Reliably download millions of images efficiently
Stars: ✭ 28 (-6.67%)
Mutual labels: jupyter-notebook
Zalando Pytorch
Various experiments on the [Fashion-MNIST](https://github.com/zalandoresearch/fashion-mnist) dataset from Zalando
Stars: ✭ 29 (-3.33%)
Mutual labels: jupyter-notebook
Python for ml
brief introduction to Python for machine learning
Stars: ✭ 29 (-3.33%)
Mutual labels: jupyter-notebook
Skymap
High-throughput gene to knowledge mapping through massive integration of public sequencing data.
Stars: ✭ 29 (-3.33%)
Mutual labels: jupyter-notebook
Potter
Using NLTK to run an analysis on the Harry Potter corpus - different versions of this talk were given at Codeland in NYC and DjangoCon US in San Diego in 2018.
Stars: ✭ 29 (-3.33%)
Mutual labels: jupyter-notebook
Particle Filter Prototype
Particle Filter Implementations in Python and C++, with lecture notes and visualizations
Stars: ✭ 29 (-3.33%)
Mutual labels: jupyter-notebook
Kaggle Santander Customer Transaction Prediction 5th Place Partial Solution
Kaggle Competition notebooks
Stars: ✭ 29 (-3.33%)
Mutual labels: jupyter-notebook
An Unexpectedly Large Count Of Trees In The Western Sahara And Sahel
This repository contains the code for the paper "An unexpectedly large count of trees in the western Sahara and Sahel".
Stars: ✭ 29 (-3.33%)
Mutual labels: jupyter-notebook
Nyc Ds Academy
In-class exercises for Deep Learning course at NYC Data Science Academy
Stars: ✭ 29 (-3.33%)
Mutual labels: jupyter-notebook
Super Resolution
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
Stars: ✭ 952 (+3073.33%)
Mutual labels: jupyter-notebook
Nyc uber forecasting
Forecasting Uber demand in NYC neighborhoods
Stars: ✭ 29 (-3.33%)
Mutual labels: jupyter-notebook
Doing Frequentist Statistics With Scipy
Repository for the PyData DC 2016 tutorial
Stars: ✭ 29 (-3.33%)
Mutual labels: jupyter-notebook
Dscourses19
ECON 5253: Data Science for Economists, University of Oklahoma (Spring 2019)
Stars: ✭ 29 (-3.33%)
Mutual labels: jupyter-notebook
Machinelearning fall2015
BUS 41204: Machine Learning
Stars: ✭ 29 (-3.33%)
Mutual labels: jupyter-notebook
Kaggle Web Traffic Time Series Forecasting
Solution to Kaggle - Web Traffic Time Series Forecasting
Stars: ✭ 29 (-3.33%)
Mutual labels: jupyter-notebook
Neuromatch Academy
Preparatory Materials, Self-guided Learning, and Project Management for Neuromatch Academy activities
Stars: ✭ 30 (+0%)
Mutual labels: jupyter-notebook
Blog Series - Kaggle RNSA Intracranial Haemorrage 2nd Place Solution Breakdown
Notebooks to accompany my blog series about the 2nd place Kaggle RSNA winners to help me understand theire solution. First check out the 2nd place kaggle solution winners (Darragh and Dmitry) explanations and code here for yourself:
After performing dismally in the Kaggle RSNA Intracranial Haemorrhage Competition thanks to a pig-headed strategy relying on brute force (via an expensive cloud instance) and too little thinking I resolved to see what the winners had done right. This series posts will cover what I learned looking at the code shared by the 2nd placed team, who’s solution I found both approachable and innovative, hope you enjoy.
Post 1/4: Intro
Post 2/4: Data Preparation
Post 3/4: Image Classifier Training
Post 4/4: LSTM Training
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].