TensorFlow Compression (TFC) contains data compression tools for TensorFlow. You can use this library to build your own ML models with end-to-end optimized data compression built in. It's useful to ...

If you have trouble following the instruction below, feel free to join OSCER weekly zoom help sessions. If you're doing deep learning neural network research, tensorflow need no introduction. It is ...

Linux has long been the backbone of modern computing, serving as the foundation for servers, cloud infrastructures, embedded systems, and supercomputers. As artificial intelligence (AI) and machine ...

Does your machine learning model take too long to train? Do you wish you could speed things up? Well, you’re in luck! In this blog post, we’ll show you how to enable GPU support in PyTorch and ...

Whether it's speed, memory safety, portability, a micro footprint, data tools, or something else, one of these Python distros probably has it. When you choose Python for software development, you get ...

对于深度学习开发者，操作系统的选择、到深度学习相关依赖包安装、环境配置上，这些步骤看似简单基础，但其实也经常有不少麻烦。本文简要梳理了从环境配置到深度学习建模的完整的流程，有所帮助的话，可以文末点个。 操作系统的选择1 Linux 如果是深度 ...

Snowpark for Python gives data scientists a nice way to do DataFrame-style programming against the Snowflake data warehouse, including the ability to set up full-blown machine learning pipelines to ...

Jupyter Notebook is one of the most popular IDEs for data science in python. If you already have Python 3.x and Anaconda installed, you can launch Jupyter Notebook from Anaconda Navigator. It should ...

TensorFI is a fault injector for TensorFlow applications written in Python. It instruments the Tensorflow graph to inject faults at the level of individual operators. Unlike other fault injection ...

In this article I will show you how to setup the Google's TensorFlow ML library with the popular Unity game engine. Since the setting up is somewhat tedious for many, I have tried my best to cover all ...