Scott Little's repositories
expand-cell-fullscreen
Expand Jupyter notebook cell to entire screen
SatelliteSolar
Galvanize DSI capstone project for predicting solar panel power from satellite data
06P_Sentiment-Analysis-With-Deep-Learning-Using-BERT
Finetuning BERT in PyTorch for sentiment analysis.
AutoDock-GPU
AutoDock for GPUs using OpenCL
AWS_IoT_demo
Code for the AWS IoT Playlist videos
causal-inference-in-python-code
Code for the Book Causal Inference in Python
dash-world-cell-towers
A Dash app for exploring the world cell tower dataset provided by OpenCellid
docker-jmodelica-env
Docker based environment for running JModelica with Ipopt and MPCPy.
Gatekeeper
A simple demonstration of modifying signed apps
Graph-Machine-Learning
Graph Machine Learning, published by Packt
hopsworks-tutorials
Tutorials for the Hopsworks Platform
jupyterday-dask-jupyter-widgets
Using Dask with Jupyter Widgets for Visualizing Queries on Large Datasets
LibreTranslate
Free and Open Source Machine Translation API. 100% self-hosted, offline capable and easy to setup.
pico-tflmicro
Pico TensorFlow Lite Port
python-hll
python-hll
pyvirtualcam
🎥 Send frames to a virtual camera from Python
scottlittle.github.io
Build a Jekyll blog in minutes, without touching the command line.
seattle_streamlit_demo
During this introductory workshop, you will learn how to deploy an ML model using Streamlit. Streamlit is a user-friendly way to add interactivity and engagement to any ML project. By the end of the session, you will know how to show off your models and insights with this helpful tool. Having some familiarity with python and how to run code in the terminal will be useful for this session.
spark-alchemy
Collection of open-source Spark tools & frameworks that have made the data engineering and data science teams at Swoop highly productive
tflite-micro
Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).
TriangleJupyter
Jupyter in the Triangle conference website