Jupyter Notebook

1,131 Jupyter Notebook users in St. Louis

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Jeff Heaton has 6,587 from Jupyter Notebook repos:
  • t81_558_deep_learning (5,742 ) T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
  • app_deep_learning (473 ) T81-558: PyTorch - Applications of Deep Neural Networks @Washington University in St. Louis
  • app_generative_ai (165 ) T81-559: Applications of Generative Artificial Intelligence
Jordan W has 384 from Jupyter Notebook repos:
Tim Holy has 326 from Jupyter Notebook repos:
Shawn Presser has 211 from Jupyter Notebook repos:
Gregory Brunner has 130 from Jupyter Notebook repos:
  • programming-for-gis-and-rs (63 ) Materials for the Intro to Programming for GIS and Remote Sensing Course that I teach at Saint Louis University. They include the updates I made for the spring 2020 and fall 2020 semesters.
  • adv-programming-for-gis-and-rs (46 ) My course materials for GIS 4091\5091, Advanced Programming for GIS and Remote Sensing. This is everything. Lectures, samples, notebooks, problems, and solutions.
  • intro-prog-for-gis-rs (10 ) Materials for the Intro to Programming for GIS and Remote Sensing Course that I teach at Saint Louis University
Quan Nguyen has 125 from Jupyter Notebook repos:
Donald Danforth Plant Science Center has 88 from Jupyter Notebook repos:
  • plantcv-workshop (15 ) PlantCV Workshops
  • plantcv-v2-paper (10 ) PlantCV image analysis scripts used in the PlantCV v2.0 paper
  • apps-phenotyping (9 ) The following are scripts and instruction necessary to set up 4 Raspberry Pi Powered Imaging Platforms
Peng Lu has 55 from Jupyter Notebook repos:
  • IMC_Denoise (55 ) IMC_Denoise: a software package to enhance Imaging Mass Cytometry - Nature Communications
LaunchCoderGirl has 54 from Jupyter Notebook repos:
sbhakat has 52 from Jupyter Notebook repos:
  • AF-cryptic-pocket (24 ) Cryptic pocket prediction using AlphaFold 2
  • Plotting-MD-Metadynamics (13 ) Jupyter Notebook showing how to plot FES, histograms and time-series data using Matplotlib.
  • BPTI-TICA-waterdynamics (4 ) tICA to capture local loop motion. Describes how to analyse loop movement using TICA and how to run PT-Metad using TIC vectors
ryan has 48 from Jupyter Notebook repos:
  • spreadsheets-to-dataframes (38 ) Pycon 2021 Tutorial to help Spreadsheet (Excel) Users learn Python
  • applied-economics (10 ) Applied Economic Forecasting Using Time Series Methods By Eric Ghysels, Massimiliano Marcellino (Python)
Li Ding's Lab has 41 from Jupyter Notebook repos:
Alex Power[s] BI has 39 from Jupyter Notebook repos:
Chandra Prakash Bathula has 38 from Jupyter Notebook repos:
Jon Taylor, Ph.D. has 35 from Jupyter Notebook repos:
  • twitch (29 ) Twitch stream notebooks
  • FL_covid_data_notebooks (3 ) Gather Florida's Covid data directly from the ARCGIS REST API and save them as CSV files to your computer.
  • example-scripts (3 ) Example Machine Learning Scripts for Numerai's Tournament
Shuhao Cao has 35 from Jupyter Notebook repos:
Kamal B Dhungana has 33 from Jupyter Notebook repos:
Binxu has 31 from Jupyter Notebook repos:
Pam Kellerman has 26 from Jupyter Notebook repos:
millett has 24 from Jupyter Notebook repos:
  • pathology_learning (18 ) Using traditional machine learning and deep learning methods to predict stuff from TCGA pathology slides.
  • cs230_project (6 ) CS230, Deep Learning, using VAE's and GMVAE's to characterize ICU data
  • telypath (0 ) (No description)
Clayton A Davis has 22 from Jupyter Notebook repos:
  • card_codex (22 ) Magic: the Gathering card similarity search
  • dbda-notes (0 ) (No description)
  • Slides-IEA (0 ) Presentation on Social Media Analysis for the Indiana Evaluation Association
OCI Labs - Object Computing, Inc. has 22 from Jupyter Notebook repos:
  • deep-gauge (22 ) Deep gauge (using Tensorflow to read gauges)
Abhishek Nagaraja has 21 from Jupyter Notebook repos:
Salih Tutun, PhD has 19 from Jupyter Notebook repos:
  • comprhensive-interview-preparation (13 ) (No description)
  • Agent-Based-Modeling-ABM--for-Terrorism (2 ) Understanding the behavior of a terrorist group is a complex phenomenon because of the uncertainty in strategies and tactics used by terrorists. In this regards, an agent-based modeling with network topology is used to model the system composed of interacting agents (attacks) and groups. The terrorist groups’ tactics are modeled based on the success rate of attacks and the defense level of a particular location. The proposed model is validated using real-world data of suicide attacks in Iraq. The model can be used to support governmental counterterrorism policy-making.
  • fraud-detection-gnn (2 ) (No description)
realAngryAnalytics has 18 from Jupyter Notebook repos:
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