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oreilly-rl-tutorial

Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conference.

pachyderm

Reproducible Data Science at Scale!

pandas_transform_format

Example for creating an API from start to end

pandasvault

Advanced Pandas Vault — Utilities, Functions and Snippets (by @firmai).

papergraph

AI/ML citation graph with postgres + graphql

parallel_ml_tutorial

Tutorial on scikit-learn and IPython for parallel machine learning

parametricumap_paper

Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning" (Sainburg, McInnes, Gentner, 2020).

pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

pdf2audiobook

pdf2audiobook

pdftabextract

A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.

pgmpy_notebook

Short Tutorial to Probabilistic Graphical Models(PGM) and pgmpy

pharmaceuticalsalesprediction

Pharmaceutical Sales prediction across multiple stores. End-to-end product that delivers this prediction using Streamlit.

pipeline

PipelineAI Kubeflow Distribution

pipelines-python-django

Sample Python Django application for Azure Pipelines docs

plant_monitor

A deep learning based system for disorder detection in tomato plants. Also used IoT to get sensor data from the plants. Two seperate models were trained for this project. One dealt with Images and other with Sensor Data. You can use both to predict the Disorder of Tomato Plants.

polyfuzz

Fuzzy string matching, grouping, and evaluation.

practical-ml-implementations

ML implementations for practical use

practical-python

Practical Python Programming (course by @dabeaz)

practical-statistics-for-data-scientists

Code repository for O'Reilly book

practical-time-series-analysis

Practical Time-Series Analysis, published by Packt

practical_dl

DL course co-developed by YSDA, HSE and Skoltech

practical_rl

A course in reinforcement learning in the wild

practicaldeeplearningtutorials

深度学习算法实战

prefect

The easiest way to automate your data

privateml

Various material around private machine learning, some associated with blog

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 ;)

production-level-deep-learning

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

profile_of_1

programming-collective-intelligence

Examples from Programming Collective Intelligence

project-euler-captcha-solver

Training keras/xgboost model to solve projecteuler.net captchas with training data provided by 2captcha