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Python - 100天从新手到大师
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Google Research
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.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A collection of various deep learning architectures, models, and tips
Data and code behind the articles and graphics at FiveThirtyEight
📡 Simple and ready-to-use tutorials for TensorFlow
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
This repository contains implementations and illustrative code to accompany DeepMind publications
FinRL®: Financial Reinforcement Learning. 🔥
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Recipes for using Python's pandas library
Python code for "Probabilistic Machine learning" book by Kevin Murphy
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Acceptance rates for the major AI conferences
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Bayesian optimization in PyTorch
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
Beaker Extensions for Jupyter Notebook
Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab