Search Results for "numpy 0.10 tutorial"

...-of-the-art systems. Different machine learning frameworks have different strengths. Flower can be used with any machine learning framework, for example, PyTorch, TensorFlow, Hugging Face Transformers, PyTorch Lightning, scikit-learn, JAX, TFLite, MONAI, fastai, MLX, XGBoost, Pandas for federated analytics, or even raw NumPy for users who enjoy computing gradients by hand.

Autograd can automatically differentiate native Python and Numpy code. It can handle a large subset of Python's features, including loops, ifs, recursion and closures, and it can even take derivatives of derivatives of derivatives. It supports reverse-mode differentiation (a.k.a. backpropagation), which means it can efficiently take gradients of scalar-valued functions with respect to array-valued arguments, as well as forward-mode differentiation, and the two can be composed arbitrarily...

...++ and cython is also included. This repo supports the onnxruntime, and the latency of regressing 3DMM parameters using the default backbone is about 1.35ms/image on CPU with a single image as input. See requirements.txt, tested on macOS and Linux platforms. The Windows users may refer to FQA for building issues. Note that this repo uses Python3. The major dependencies are PyTorch, numpy, opencv-python and onnxruntime, etc.

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...