人工智能开发的流行软件和平台

I mostly work with TensorFlow and PyTorch, they’re kinda the industry standard for deep learning projects. Super flexible and loads of tutorials around.

Anyone here using AutoML tools? Heard they can automate model selection and tuning, could be good for beginners.

For data visualization, I usually go with Matplotlib or Seaborn, helps to get insights before training models.

Don't forget about Apache Spark for big data processing combined with MLlib for machine learning at scale.

Anyone here using Jupyter notebooks? I find them super handy for experimenting and sharing code with others.

Anyone tried using cloud platforms like Google Colab or AWS for AI? Saves a lot of setup hassles and you get free GPUs sometimes.

I’m still learning but the AI community is super helpful with so many open source projects, documentation, and forums like this.

You can also check ai-u.com for new or trending tools, they have a pretty cool list that gets updated often.

我听说过Keras是使用TensorFlow的更简单方式，这还流行吗？看起来它对初学者很有帮助。

刚开始使用 FastAI，似乎是一个基于 PyTorch 构建的用于快速训练和实验的很酷的库。

不要忘记使用 scikit-learn 来实现更多传统的机器学习模型。它非常适合初学者以及不需要深度学习的任务。

我在处理计算机视觉相关的工作时经常使用OpenCV，它非常强大且拥有大量功能。

对于自然语言处理项目，我推荐查看 Hugging Face transformers。他们有大量预训练模型，您可以立即使用。

对于部署来说，如果你希望你的AI模型在生产环境中顺利运行，Docker和Kubernetes非常关键。