arXiv:1910.12232
공식 코드 · Papers with Code
Neural Network Distiller: A Python Package For DNN Compression Research
원문 초록
This paper presents the philosophy, design and feature-set of Neural Network Distiller, an open-source Python package for DNN compression research. Distiller is a library of DNN compression algorithms implementations, with tools, tutorials and sample applications for various learning tasks. Its target users are both engineers and researchers, and the rich content is complemented by a design-for-extensibility to facilitate new research. Distiller is open-source and is available on Github at https://github.com/NervanaSystems/distiller.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
LLINBO: Trustworthy LLM-in-the-Loop Bayesian Optimization
Streaming 4D Visual Geometry Transformer
Simple is what you need for efficient and accurate medical image segmentation
Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs
Sorrel: A simple and flexible framework for multi-agent reinforcement learning
On Denoising Walking Videos for Gait Recognition
토론
이 논문과 연결된 포럼 글이 아직 없습니다.