ptq topic

More readable and flexible yolov5 with more backbone(gcn, resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer, etc) and (cbam，dcn and so on), and tensorrt

Bobo-y

Brevitas: neural network quantization in PyTorch

Xilinx

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 adva...

sony

Deep Learning Model Optimization Using by TensorRT API, window

yester31

[EMNLP 2024 & AAAI 2026] A powerful toolkit for compressing large models including LLMs, VLMs, and video generative models.

ModelTC

[ICML 2024] Outlier-Efficient Hopfield Layers for Large Transformer-Based Models

MAGICS-LAB

mi-optimize is a versatile tool designed for the quantization and evaluation of large language models (LLMs). The library's seamless integration of various quantization methods and evaluation techniqu...

TsingmaoAI

[ICML 2025] Fast and Low-Cost Genomic Foundation Models via Outlier Removal.

MAGICS-LAB