earlbabson Goto Github PK

nn-from-scratch

Implementing a Neural Network from Scratch

numerical-python-book-code

numpyann

Implementation of artificial neural networks using NumPy in addition to extraction of features and classification of the Fruits360 image dataset

on-using-google-colab

For noobs like me: how to connect your google drive to Colab and download data with kaggle API

openface

Face recognition with deep neural networks.

oreilly-learning-tensorflow

oscars-tutorial

p1xt-guides

Programming curricula

pandas-cookbook

Pandas Cookbook, published by Packt

pandas-profiling

Create HTML profiling reports from pandas DataFrame objects

paper-summaries

Summaries of papers related to deep learning , computer vision

percollate

🌐 → 📖 A command-line tool to turn web pages into beautifully formatted PDFs

portfolio

Create a beautiful Portfolio using GitHub pages

pover-t-tests

practical_rl

A course in reinforcement learning in the wild

practicalai

A practical approach to learning machine learning.

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

prml

PRML algorithms implemented in Python

prmlt

Matlab code for machine learning algorithms in book PRML

prnet

Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)

probability_cheatsheet

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

problem-solving-with-algorithms-and-data-structures-using-python

Code and exercises from Problem and Solving with Algorithms and Data Structures

problem-solving-with-algorithms-and-data-structures-using-python-1

Examples and work from Problem Solving with Algorithms and Data Structures Using Python

professional-programming

A collection of full-stack resources for programmers.

project-based-learning

Curated list of project-based tutorials

project-proposal

proposal

pwc

Papers with code. Sorted by stars. Updated weekly.

pycon-ds-2018

Introduction to Python for Data Science for PyCon 2018

pydata-book

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