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Brevitas: neural network quantization in PyTorch
Created
2018-07-10
1,290 commits to master branch, last one 4 months ago
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
Created
2021-03-26
205 commits to v2 branch, last one 2 months ago
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...
Created
2021-06-21
1,160 commits to main branch, last one 2 days ago
This is the official PyTorch implementation of "LLM-QBench: A Benchmark Towards the Best Practice for Post-training Quantization of Large Language Models", and also an efficient LLM compression tool w...
Created
2024-03-06
62 commits to main branch, last one 4 days ago