Machine learning careers offer strong salary growth across Indian industriesReal projects and deployment skills matter more ...

JAX is one of the fastest-growing tools in machine learning, and this video breaks it down in just 100 seconds. We explain how JAX uses XLA, JIT compilation, and auto-vectorization to turn ordinary ...

According to Lex Fridman, major open source projects such as Linux, PyTorch, TensorFlow, and open-weight large language models (LLMs) are foundational to the current AI ecosystem, enabling rapid ...

Abstract: With an emphasis on convolutional neural networks (CNNs), this research does a thorough analysis of the effectiveness and suitability of the TensorFlow and PyTorch frameworks for image ...

Abstract: This paper presents the design of a framework for loading a pre-trained model in PyTorch on embedded devices to run local inference. Currently, TensorFlow Lite is the most widely used ...

I hope this message finds you well. Apologies for the interruption. While studying the MSTGCN project, I noticed that there are currently two implementations available on GitHub — one is a TensorFlow ...

It would be nice to know exactly on which versions of pytorch and tensorflow these tutorials were tested. Also, do you use tensorflow ? by looking at the code it does seems so..