In Pyper, the task decorator is used to transform functions into composable pipelines. Let's simulate a pipeline that performs a series of transformations on some data.

You can apply a Processor to any input stream and easily iterate through its output stream: The concept of Processor provides a common abstraction for Gemini model calls and increasingly complex ...

If the mention of algebra conjures bad memories of math classes, a Python library called SymPy could change your mind about ...

Overview:  PyTorch is ideal for experimentation, TensorFlow and Keras excel at large-scale deployment, and JAX offers ...

Program focused on skill-building, AI applications; 95 participants participated: Director SRINAGAR: A five-day workshop on Python for Artificial Intelligence (AI), organized by the Department of ...

Overview: NumPy is ideal for data analysis, scientific computing, and basic ML tasks.PyTorch excels in deep learning, GPU ...