Code repository for the paper Quantized Convolutional Neural Networks Through the Lens of Partial Differential Equations
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Updated
Sep 15, 2022 - Python
Code repository for the paper Quantized Convolutional Neural Networks Through the Lens of Partial Differential Equations
Classify alcohols and its snacks
Quantization Aware Training
all methods of pytorch quantization based on resnet50
Transformer quantization and binarization exploration
Comprehensive study on the quantization of various CNN models, employing techniques such as Post-Training Quantization and Quantization Aware Training (QAT).
A Tutorial Notebook to Quantization in Machine Learning
Experimental Adversarial Attack notebooks on CV models
DynamicQuantization_Bert from pytorch tutorials
Our work implements novel L2-Norm gradient (L2Grad) and variance of the weight distrbution (VarianceNorm) regularizers for quantization-aware training such that the distribution of weights are more compatible with post-training quantization especially for low bit-widths. We provide a theoretical basis that directly relates L2-Grad with post quan…
Implementation of MedQ: Lossless ultra-low-bit neural network quantization for medical image segmentation
Visualizing DNN Quantization effect on Network.
BASQ: Branch-wise Activation-clipping Search Quantization for Sub-4-bit Neural Networks, ECCV 2022
A lightweight Convolutional Autoencoder for recognizing Bangla font styles along with quantization for deploying resource-constrained IoT devices.
Quantization for Object Detection in Tensorflow 2.x
EfficientNetV2 (Efficientnetv2-b2) and quantization int8 and fp32 (QAT and PTQ) on CK+ dataset . fine-tuning, augmentation, solving imbalanced dataset, etc.
Quantization Aware Training
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