Statistics for topic model-compression
RepositoryStats tracks 518,325 Github repositories, of these 94 are tagged with the model-compression topic. The most common primary language for repositories using this topic is Python (67).
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An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)
[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs
a collection of computer vision projects&tools. 计算机视觉方向项目和工具集合。
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)
[ACL 2022] Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (pape...
KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
a collection of computer vision projects&tools. 计算机视觉方向项目和工具集合。
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (pape...
[CVPR 2024 Highlight] Logit Standardization in Knowledge Distillation
[CVPR 2024 Highlight] Logit Standardization in Knowledge Distillation
a collection of computer vision projects&tools. 计算机视觉方向项目和工具集合。
KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
A list of papers, docs, codes about efficient AIGC. This repo is aimed to provide the info for efficient AIGC research, including language and vision, we are continuously improving the project. Welcom...
The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
[CVPR 2024 Highlight] Logit Standardization in Knowledge Distillation
[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
[CVPR 2024] DeepCache: Accelerating Diffusion Models for Free
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (pape...
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
[CVPR 2024] DeepCache: Accelerating Diffusion Models for Free
The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
[ACL 2023] Code for paper “Tailoring Instructions to Student’s Learning Levels Boosts Knowledge Distillation”(https://arxiv.org/abs/2305.09651)