The fastai deep learning library

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

EPFL Machine Learning Course, Fall 2019

Steve Nouri's Tutorials

The fastai book, published as Jupyter Notebooks

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

This is Andrew NG Coursera Handwritten Notes.

Implementation of different ML Algorithms from scratch, written in Python 3.x

Source code accompanying O'Reilly book: Machine Learning Design Patterns

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

All Algorithms implemented in Python

Jupyter notebooks for teaching/learning Python 3

Keras code and weights files for popular deep learning models.

Turn a MacBook into a Touchscreen with $1 of Hardware

📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.

Educative.io - Grokking the Object Oriented Design Interview

A simplified implemention of Faster R-CNN that replicate performance from origin paper

Data Science interview question by iNeuron

Reference implementations of popular deep learning models.

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

Deep neural audiovisual network

500+ Data Structures and Algorithms practice problems

Demo of running NNs across different frameworks

Practical Exercise Codes for PyTorch

Detect and recognize The Simpsons characters using Keras and Faster R-CNN