Deep learning continues to be one of the hottest fields in computing, and while Google’s TensorFlow remains the most popular framework in absolute numbers, Facebook’s PyTorch has quickly earned a ...

众所周知，在机器学习框架领域，PyTorch、TensorFlow已分别成为目前学界和业界使用最广泛的两大实力玩家，而紧随其后的Keras、MXNet等框架也由于其自身的独特性受到开发者的喜爱。 2020年上半年，数个“国产”AI框架渐次宣布开源，讨论的热度一直在持续。

In the dynamic world of machine learning, two heavyweight frameworks often dominate the conversation: PyTorch and TensorFlow. These frameworks are more than just a means to create sophisticated ...

Not every regression or classification problem needs to be solved with deep learning. For that matter, not every regression or classification problem needs to be solved with machine learning. After ...

经过 5 个月的更新迭代，Keras 3.0 终于来了。 「大新闻：我们刚刚发布了 Keras 3.0 版本！」Keras 之父 François Chollet 在 X 上激动 ...

7 月 31 日，深度学习框架 OneFlow 正式在 GitHub 上开源，采用 Apache 2.0 开源协议，这是国内首个由初创公司、小团队自研并开源的 AI 框架。OneFlow 从研发之初就主打高效性，致力于解决大规模分布式 AI 训练问题。 对于从 OneFlow 项目早期就开始关注的开发者来说，这 ...

7项指标排名第一。 JAX在最近的基准测试中的性能已经不声不响地超过了Pytorch和TensorFlow，也许未来会有更多的大模型诞生在这个平台上。谷歌在背后的默默付出终于得到了回报。 谷歌力推的JAX在最近的基准测试中性能已经超过Pytorch和TensorFlow，7项指标排名第一。

Is PyTorch better than TensorFlow for general use cases? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world.