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practical-ml-w-python

Source code for 'Practical Machine Learning with Python' by Dipanjan Sarkar, Raghav Bali, and Tushar Sharma

practical-opencv

Source code for 'Practical OpenCV' by Samarth Brahmbhatt

practicalai

📚 A practical approach to machine learning.

predictive-analytics-w-msft-azure-ml

Source code for 'Predictive Analytics with Microsoft Azure Machine Learning' by Valentine Fontama, Roger Barga, and Wee Hyong Tok

pro-devops-with-google-cloud-platform

Source Code for 'Pro DevOps with Google Cloud Platform' by Pierluigi Riti

pro-machine-learning-algorithms

Source Code for 'Pro Machine Learning Algorithms' by Kishore Ayyadevara

probabilistic-graphical-models-materials

probabilisticrobotics

Test of different SLAM algorithms in Probabilistic Robotics

project-based-learning

Curated list of project-based tutorials

pybooks

python books

python

All Algorithms implemented in Python

python-aibooks

Python , Artificial Intelligence , Machine Learning and Deep Learning Books.

python-data-science-essentials-third-edition

Python Data Science Essentials - Third Edition, Published by Packt

python-for-probability-statistics-and-machine-learning-2e

Second edition of Springer Book Python for Probability, Statistics, and Machine Learning

python-ml-case-studies

Source code for 'Python Machine Learning Case Studies' by Danish Haroon

python_more_awesome

The essential Python list

pytorch-deep-learning-minicourse

Minicourse in Deep Learning with PyTorch

pytorch-tutorials-examples-and-books

PyTorch1.x tutorials, examples and some books I found 【不定期更新中】整理的PyTorch 1.x 最新版教程、例子和书籍

qstrader

QSTrader

raspberry-pi-image-proc-prog

Source code for 'Raspberry Pi Image Processing Programming' by Ashwin Pajankar

richzhang.github.io

robot-operating-system-abs-begs

Source code for 'Robot Operating System (ROS) for Absolute Beginners:Robotics Programming Made Easy' by Lentin Joseph

smartphonegraphslam

A Graph SLAM Implementation with an Android Smartphone

spektral

Graph Neural Networks with Keras and Tensorflow.

stanford-cs229

This repository provides python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng

stock-prediction

Machine learning pipeline for training TensorFlow models to forecast stock prices. Written in Python.

tech-interview-cheat-sheet

Studying for a Tech Interview Sucks. Here's an Open Source Cheat Sheet to Help

text-analytics-w-python-2e

Source Code for 'Text Analytics with Python,' 2nd Edition by Dipanjan Sarkar

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

themlbook

The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.