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pwclka

Singapore Polytechnic & PWC Academy Sri Lanka - AI and Machine Learning

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pymlslides

Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book

pyspark-recipes

Source code for 'PySpark Recipes' by Raju Kumar Mishra

pysyft

A library for encrypted, privacy preserving deep learning

python-algorithms

Source code for 'Python Algorithms' by Magnus Lie Hetland

python-algorithms-14

Source code for 'Python Algorithms' by Magnus Lie Hetland

python-data-analytics-2e

Source Code for 'Python Data Analytics, 2nd Edition' by Fabio Nelli

python-machine-learning-book-3rd-edition

The "Python Machine Learning (3rd edition)" book code repository

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pythonforprogrammers

Files associated with our book Python for Programmers

pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

pytorch-recipes

Source Code for 'PyTorch Recipes' by Pradeepta Mishra

pytorchnlpbook

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

qbstyles

QuantumBlack Matplotlib styles

rbm

Restricted Boltzmann Machines as Keras Layer

recurrentjs

Deep Recurrent Neural Networks and LSTMs in Javascript. More generally also arbitrary expression graphs with automatic differentiation.

reinforcejs

Reinforcement Learning Agents in Javascript (Dynamic Programming, Temporal Difference, Deep Q-Learning, Stochastic/Deterministic Policy Gradients)

reinforcement-learning-explained

This repository contains the lab files for Microsoft course DAT257x: Reinforcement Learning Explained

research-methods-for-data-science-with-python

Research Methods for Data Science with Python

sklearn-one-day

One day workshop for machine learning with scikit-learn

sklearn_tutorial

Materials for my scikit-learn tutorial

sklearn_tutorial-1

Slides for quick intro to machine learning with sklearn

sklearn_workshop

Jupyter notebooks for interactive scikit-learn workshop

slm-lab

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

soc50

social-media-data-book

speech-recognition

Hosted files for DEV287x-Speech Recognition Systems

srgan

SRGAN implemetation with TensorFlow

stat453-deep-learning-ss21

STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)