Stars
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
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.
A game theoretic approach to explain the output of any machine learning model.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Notebooks and code for the book "Introduction to Machine Learning with Python"
The "Python Machine Learning (2nd edition)" book code repository and info resource
Simple tutorials using Google's TensorFlow Framework
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Python code for common Machine Learning Algorithms
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Text and supporting code for Think Stats, 2nd Edition
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
Open Content for self-directed learning in data science
InferSent sentence embeddings
Dual LSTM Encoder for Dialog Response Generation
Open-source implementation of Google Vizier for hyper parameters tuning
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
A few exercises for use at events.
Democratizing Internet-scale financial data.
PySpark-Tutorial provides basic algorithms using PySpark
Multilingual word vectors in 78 languages
Resources for "Natural Language Processing" Coursera course.
Code repository for Deep Learning with Keras published by Packt