Stars
Learn how to design, develop, deploy and iterate on production-grade ML applications.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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 ;)
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
The "Python Machine Learning (1st edition)" book code repository and info resource
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Automatic extraction of relevant features from time series:
Toturials coming with the "data science roadmap" picture.
The "Python Machine Learning (2nd edition)" book code repository and info resource
A scikit-learn compatible neural network library that wraps PyTorch
Efficient Image Captioning code in Torch, runs on GPU
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Jupyter notebooks from the scikit-learn video series
A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
Simple chat program that communicates using inaudible sounds
An Interactive Introduction to Fourier Transforms
Deep Learning tutorials in jupyter notebooks.
Supporting code for short YouTube series Neural Networks Demystified.
This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)
¡Camino a una educación autodidacta en Ciencia de Datos!
Slides and code from our TensorFlow workshop.