model-compression

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Awesome Knowledge Distillation

[CVPR 2023] DepGraph: Towards Any Structural Pruning; LLMs, Vision Foundation Models, etc.

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

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 (papers, repositories) that are missed by the repo.

[CVPR 2024] DeepCache: Accelerating Diffusion Models for Free

The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction

[ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.

On-device LLM Inference Powered by X-Bit Quantization

⛵️The official PyTorch implementation for "BERT-of-Theseus: Compressing BERT by Progressive Module Replacing" (EMNLP 2020).

[ICLR 2025🔥] SVD-LLM & [NAACL 2025🔥] SVD-LLM V2

Tensorflow and Keras implementation of the state of the art researches in Dialog System NLU

Our open source implementation of MiniLMv2 (https://aclanthology.org/2021.findings-acl.188)

Open-source platform for creating, distributing and running sovereign EU-compliant LLMs. Verticalize any model for your domain, language and brand. AI Act ready.

Recent Advances on Efficient Vision Transformers

Biologically-grounded adversarial training platform: cyclic Wake/Dream/Nightmare/Compress phases that accumulate model robustness without catastrophic forgetting. Dockerized, EU AI Act compliance reporting.

分享高质量的AI项目

📚 A curated list of Awesome Efficient dLLMs Papers with Codes