Accelerate your machine learning networks using TVM and the Adreno OpenCL ML APIs on Adreno GPUs - Qualcomm Developer Network
Evaluating PlaidML and GPU Support for Deep Learning on a Windows 10 Notebook | by franky | DataDrivenInvestor
Compiling Machine Learning to WASM and WebGPU with Apache TVM
Keras vs. TensorFlow: Which one is the right fit for your Project? | by Karlos G. Ray [Masters | BS-Cyber-Sec | MIT | LPU] | Medium
Getting started — ElcoreNN SDK documentation
A ML-based resource utilization OpenCL GPU-kernel fusion model - ScienceDirect
Keras: One API to Rule them All | Learning Tree
HPVM: Hardware-Agnostic Programming for Heterogeneous Parallel Systems
My GAN deep neural network that is learning how to write handwritten digits, running on AMD
Keras vs Tensorflow - Deep Learning Frameworks Battle Royale
What are the pros and cons of CUDA versus OpenCL for machine learning? - Quora
François Chollet on X: "PlaidML is an open-source Keras backend that runs on OpenCL, with good performance relative to TensorFlow: https://t.co/tCmzXHfFUO https://t.co/3YAQI0EMX5" / X
Running TensorFlow Stable Diffusion on Intel® Arc™ GPUs
APIs for Accelerating Vision and Inferencing: An Overview of Options and Trade-offs