IBM/aihwkit-lightning

IBM Analog Hardware Acceleration Kit

CrossSim: accuracy simulation of analog in-memory computing

Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers advanced quantization and compression tools for deploying state-of-the-art neural networks.

🪙 TT-NN operator library, and TT-Metalium low level kernel programming model.

PyTorchSim is a Comprehensive, Fast, and Accurate NPU Simulation Framework

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

Zero-Code PyTorch Model Accelerator Toolkit 2026: Supercharge AI Training Workflows

NNtrainer is Software Framework for Training and Inferencing Neural Network Models on Devices.

You like pytorch? You like micrograd? You love tinygrad! ❤️