Shypd.aiThe largest open index of AI toolsKD_Lib is a PyTorch model compression library that provides easy-to-use methods for knowledge distillation, pruning, and quantization. It is designed for benchmarking and extending research in these domains.
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KD_Lib is an open-source PyTorch library specifically designed for model compression techniques, including knowledge distillation, pruning, and quantization. It offers a comprehensive suite of easy-to-use methods for researchers and developers to benchmark and extend existing works in these critical areas of deep learning. The library supports various knowledge distillation approaches, such as VanillaKD, Deep Mutual Learning (DML), and methods for handling noisy teachers or attention-based distillation. It also includes implementations for pruning techniques like The Lottery Ticket Hypothesis and quantization. KD_Lib aims to simplify the process of implementing and experimenting with model compression strategies, making it a valuable tool for optimizing neural networks.
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