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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 ;)
This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), ar…
📡 Simple and ready-to-use tutorials for TensorFlow
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Image restoration with neural networks but without learning.
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
Code for Tensorflow Machine Learning Cookbook
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
TensorFlow Basic Tutorial Labs
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Microsoft Quantum Development Kit Samples
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
Useful functions, tutorials, and other Python-related things
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
A clear, concise, simple yet powerful and efficient API for deep learning.
A replica of the AlphaZero methodology for deep reinforcement learning in Python
Code, Notebooks and Examples from Practical Business Python
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Te…
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
Keras implementation of Deeplab v3+ with pretrained weights
Distributed deep learning on Hadoop and Spark clusters.
IPython kernel for Torch with visualization and plotting
Introduction to Statistics using Python
Materials for my Pycon 2015 scikit-learn tutorial.
Ten thousand books, six million ratings
Sample iPython notebook with soccer predictions