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Practice your pandas skills!
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
"Deep Generative Modeling": Introductory Examples
General Assembly's Data Science course in Washington, DC
GPU-Jupyter: Leverage the flexibility of Jupyterlab through the power of your NVIDIA GPU to run your code from Tensorflow and Pytorch in collaborative notebooks on the GPU.
Python library for science observations from the James Webb Space Telescope
T81-558: PyTorch - Applications of Deep Neural Networks @Washington University in St. Louis
These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.
Python port of CausalImpact R library
TensorFlow Metal Backend on Apple Silicon Experiments (just for fun)
This repository provides various demos/examples of using Snowpark for Python.
ASAP: Prioritizing Attention via Time Series Smoothing
A {K}otlin g{ra}mmar for data {vis}ualization
org-mode exporter to Jupyter notebooks
The art of effective visualization of multi-dimensional data
Getting Started with Snowflake ML in Notebooks
A Jupyter kernel for Basilisp, a Clojure compatible dialect implemented in Python
Data Science Sandbox for Snowflake
