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awesome-computer-vision

A curated list of awesome computer vision resources

aws-lambda-deploy

A collection of tools to enable canary deployments of AWS Lambda functions.

blockly-samples

Plugins, codelabs, and examples related to the Blockly library.

bokeh

Interactive Web Plotting for Python

borsh-construct-py

Python implementation of Binary Object Representation Serializer for Hashing

c_from_python

Calling C from Python

causality

Tools for causal analysis

connect4

creme

:loop: Online machine learning in Python

dc.js

Multi-Dimensional charting built to work natively with crossfilter rendered with d3.js

deep-learning-boot-camp

A nonprofit community run, 5-day Deep Learning Bootcamp

examples

Examples to get started with Switchboard

jsligo-training-dapp-shifumi

kalman-and-bayesian-filters-in-python

Kalman Filter textbook using Ipython Notebook. This book takes a minimally mathematical approach, focusing on building intuition and experience, not formal proofs. Includes Kalman filters, Extended Kalman filters, unscented filters, and more. Includes exercises with solutions.

leverage-simulation

Akka-based simulation of Stefan Thurner “Systemic financial risk: agent based models to understand the leverage cycle on national scales and its consequences”

ligo-koans

machine_learning_examples

A collection of machine learning examples and tutorials.

math

The Stan Math Library is a C++, reverse-mode automatic differentiation library designed to be usable, extensive and extensible, efficient, scalable, stable, portable, and redistributable in order to facilitate the construction and utilization of algorithms that utilize derivatives.

pandas-profiling

Create HTML profiling reports from pandas DataFrame objects

pandas_market_calendars

Exchange calendars to use with pandas for trading applications

perspective

Streaming pivot visualization via WebAssembly

playground

Play with neural networks!

polars

Fast multi-threaded, hybrid-out-of-core DataFrame library in Rust | Python | Node.js

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pythondatasciencehandbook

Jupyter Notebooks for the Python Data Science Handbook

scaffolder

scikit-learn

scikit-learn: machine learning in Python

stanc3

Rewriting the Stan compiler in OCaml

streamlit-aggrid

Implementation of Ag-Grid component for Streamlit

sympy

A computer algebra system written in pure Python