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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.
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
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Learn ML engineering for free in 4 months!
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Create delightful software with Jupyter Notebooks
A better notebook for Scala (and more)
Repo for the Deep Learning Nanodegree Foundations program.
Content for Udacity's Machine Learning curriculum
A collection of IPython notebooks covering various topics.
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entr…
A clear, concise, simple yet powerful and efficient API for deep learning.
Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, B…
A toolkit for controlling Euro Truck Simulator 2 with python to develop self-driving algorithms.
IPython kernel for Torch with visualization and plotting
A university quantum algorithms/computation course supplement based on Qiskit
https://www.sc-best-practices.org
Repository containing monthly challenges in the field of quantum computing.
University of Washington
Package / Module importer for importing code from Jupyter Notebook files (.ipynb)
Guide for Reproducible Research and Data Science in Jupyter Notebooks