Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks.New libraries like JAX, ...

secp256k1lab hopes to streamline the development process of cryptographic protocols for BIP proposals with a standard library for secp256k1.

Model selection End-to-end machine learning algorithms 7. Keras Keras is a highly popular Python library often used for deep learning and neural network modules, similar to TensorFlow. The library ...

Many developers who use Python for machine learning are now switching to PyTorch. Find out why and what the future could hold for TensorFlow.

This is a text classification model, made first under Tensorflow 2.5.0 and Python 3.9.5 in Jun 2021, and it worked fine using just the same code. Standalone code to reproduce the issue. I tried to ...

Graph neural networks have -enabled the application of deep learning to problems that can be described by graphs, which are found throughout the different fields of sci-ence, from physics to biology, ...

TensorFlow 2.0 was made available last month. One of the major highlights of this release was the integration of Keras into TensorFlow. Keras is an open-source deep-learning library that is designed ...

Google announced TensorFlow 2.0 is now available for public use. The alpha version of the deep learning library made its debut this spring.