Rust on mobile made easy!

A curated list of Rust code and resources.

This repository hosts all necessary software for the UC2 project.

Respository for Open-Science modular microscope system.

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)

Real-time face recognition project with OpenCV and Python

Face recognition using Tensorflow

Face recognition with deep neural networks.

Comfortable 3-finger and 4-finger swipe gesture using Xdotool in native C++

Switch on/off your UE BOOM Bluetooth speaker from your Android device

An easy to use wrapper (OpenCV) for hand recognition

openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 275+ supported cars.

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 ;)

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Datasets, Transforms and Models specific to Computer Vision

Convolutional Neural Networks

Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

The "Python Machine Learning (2nd edition)" book code repository and info resource

The "Python Machine Learning (1st edition)" book code repository and info resource

The fundamental package for scientific computing with Python.

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

Minimal examples of data structures and algorithms in Python

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

Python Data Science Handbook: full text in Jupyter Notebooks

Deep Learning for humans

Learn how to design, develop, deploy and iterate on production-grade ML applications.

120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.