MXNet is a scalable and efficient Python library for deep learning. It provides a flexible platform for building and training deep learning models. It’s known for its speed and scalability.

With that said, it performs best when operated on a tensor processing unit (TPU). The Python library is often used to implement reinforcement learning in deep learning models, and you can directly ...

FastAI is a deep-learning Python library providing users with high-level components for modern deep-learning applications. Built on top of PyTorch, it aims to make deep learning more accessible by ...

Une bibliothèque Python telle que Scikit-learn est devenue incontournable pour le machine learning.; Dès lors que l’on s’adonne à du calcul scientifique, l’usage de Numpy a de fortes ...

Python has a plethora of machine learning libraries, but the top 5 libraries are TensorFlow, Keras, PyTorch, Scikit-learn, and Pandas. These libraries offer a wide range of tools for various ...

PyTorch is a Python-based tensor computing library with high-level support for neural network architectures.It also supports offloading computation to GPUs. A product of Facebook’s AI research ...

GPU-Accelerated Deep Learning Library in Python. Hebel is a library for deep learning with neural networks in Python using GPU acceleration with CUDA through PyCUDA. It implements the most important ...

Teaching yourself deep learning is a long and arduous process. You need a strong background in linear algebra and calculus, good Python programming skills, and a solid grasp of data science ...

A speech signal processing library in Python with emphasis on deep learning. audlib provides a collection of utilities for developing speech-related applications using both signal processing and deep ...

1| PyTorch3D . GitHub Stars: 3.4k About: PyTorch3D is an open-source library for 3D deep learning written in Python language.The library is highly modular and optimised with unique capabilities ...