Overview:  Canada’s data science market is booming, with salaries ranging from CAD 60,000 to 189,000 and opportunities across ...

Levels.fyi, a salary transparency platform, calculates the median annual package for AI engineers in the US at about ...

Check how to become a Data Scientist in 2025. Learn essential skills, educational paths, career roadmap, salaries, and growth opportunities.

SmartNotebook 作为一款类似 Hex.tech 的现代化 DataNotebook 平台，不仅支持在容器环境中快速部署，还可以通过简单的配置实现 GPU 加速，让用户在 DataNotebook 内即可运行深度学习任务。 在数据科学与深度学习的日常工作中，GPU 已经成为不可或缺的计算加速工具。

This article rounds up some of the most valuable free data science courses offered by top institutions like Harvard, IBM, and ...

When deploying large-scale deep learning applications, C++ may be a better choice than Python to meet application demands or to optimize model performance. Therefore, I specifically document my recent ...

PyTorch 是一个基于 Python 的开源深度学习框架，因其动态计算图（Dynamic Computation Graph）和 GPU 加速能力而广受欢迎。以下是 PyTorch 的核心用法指南，涵盖张量操作、模型构建、训练流程等关键内容。 1. 基础：张量（Tensor）操作 张 ...

Pytorch is already come bundled with the required CUDA library, so typically you do not need to load OSCER's CUDA or cuDNN module, as opposed to tensorflow. Example of torch batch script and python ...

This page describes PyTorch's Python Frontend backwards and forward compatibility policy, which is in effect starting with PyTorch 1.12. This policy lets us provide a modern user experience while ...

The fact that the model is constructed using cutting-edge frameworks like PyTorch and Stable Baselines3 is a further advantage. In contrast, many current implementations of imitation and reward ...