Search Results for "numpy 0.10 tutorial"

...The main intended application of Autograd is gradient-based optimization. For more information, check out the tutorial and the examples directory. We can continue to differentiate as many times as we like, and use numpy's vectorization of scalar-valued functions across many different input values.

A unified approach to federated learning, analytics, and evaluation. Federate any workload, any ML framework, and any programming language. Federated learning systems vary wildly from one use case to another. Flower allows for a wide range of different configurations depending on the needs of each individual use case. Flower originated from a research project at the University of Oxford, so it was built with AI research in mind. Many components can be extended and overridden to build new...

Educational is an open collection of interactive tutorials created by Google DeepMind to make the fundamentals of machine learning and artificial intelligence accessible to learners of all backgrounds. The repository provides hands-on, beginner-friendly resources that introduce essential AI concepts through Google Colab notebooks, combining intuitive explanations with executable code. The tutorials cover a broad range of topics—from foundational Python programming and data handling to...

This work extends 3DDFA, named 3DDFA_V2, titled Towards Fast, Accurate and Stable 3D Dense Face Alignment, accepted by ECCV 2020. The supplementary material is here. The gif above shows a webcam demo of the tracking result, in the scenario of my lab. This repo is the official implementation of 3DDFA_V2. Compared to 3DDFA, 3DDFA_V2 achieves better performance and stability. Besides, 3DDFA_V2 incorporates the fast face detector FaceBoxes instead of Dlib. A simple 3D render written by c++ and...

...It is designed for people who already have a working Python environment and some familiarity with NumPy, SciPy, and Matplotlib. The repository specifies a clear list of dependencies so that participants can reproduce the environment used in the tutorial, and many downstream forks keep the content updated for newer versions of scikit-learn. Although the GitHub repository has been archived and is read-only, it is still a valuable snapshot of early, hands-on teaching material for scikit-learn and machine learning in Python.

Snake pygame is a remake of classic snake game, developed with python and pygame. in this page you can find a tutorial to create the game: http://deasproject.altervista.org/blog/progetto-creiamo-il-nostro-snake-in-python-con-pygame/ for any question you can contact me andrea.deangelis93@gmail.com The game needs of these packages to work: - python 2.7 32 bit(x86 version) -> http://www.python.org/download/releases/2.7.5/ - pygame 1.9.1 for python 2.7 -> http://www.pygame.org/ftp/ - numpy 1.7.1 for python 2.7 -> https://pypi.python.org/pypi/numpy #### UBUNTU #### To install these packages on Ubuntu 12.04 and derived run this command on terminal: sudo apt-get install python python-pygame python-numpy #### ARCHLINUX #### To install these packages on Archlinux run this command on terminal: sudo pacman -S python2 python2-pygame python2-numpy Youtube Channel-> http://www.youtube.com/channel/UCtfS0d2O9Cd6FzZqZws4jgA