A repo for our website that we are making
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Updated
Jun 26, 2017 - HTML
A repo for our website that we are making
Training U-Net based Convolutional Neural Network model to automatically identify and delineate areas of qat agriculture in Sentinel-2 multispectral imagery.
QAT(quantize aware training) for classification with MQBench
FakeQuantize with Learned Step Size(LSQ+) as Observer in PyTorch
针对pytorch模型的自动化模型结构分析和修改工具集,包含自动分析模型结构的模型压缩算法库
quantization example for pqt & qat
Build AI model to classify beverages for blind individuals
yolo model qat and deploy with deepstream&tensorrt
Combidata is a flexible and powerful Python library designed for generating various combinations of test data based on defined cases and rules. It is especially useful for testing, debugging, and analyzing software applications and systems.
Server for https://qat.dev - official site of the Qat programming language...
Official website of qat programming language...
EfficientNetV2 (Efficientnetv2-b2) and quantization int8 and fp32 (QAT and PTQ) on CK+ dataset . fine-tuning, augmentation, solving imbalanced dataset, etc.
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
Quantization of Models : Post-Training Quantization(PTQ) and Quantize Aware Training(QAT)
This project enables Intel® platform technologies (SGX, QAT) and GPUs on Red Hat OpenShift Container Platform
Brevitas: neural network quantization in PyTorch
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