Code repository for the paper Quantized Convolutional Neural Networks Through the Lens of Partial Differential Equations

Classify alcohols and its snacks

CNN quantization

EfficientNetV2 (Efficientnetv2-b2) and quantization int8 and fp32 (QAT and PTQ) on CK+ dataset . fine-tuning, augmentation, solving imbalanced dataset, etc.

Experimental Adversarial Attack notebooks on CV models

DynamicQuantization_Bert from pytorch tutorials

Visualizing DNN Quantization effect on Network.

Quantization notebooks (adapted from and for Mobile Apps w/ Machine Learning, By Dara Varam and Lujain Khalil)

A simple formula supports eight types of quantization

NMT training pipeline using huggingface transformer

Quantization simulation of neural networks with PyTorch

Quantization Aware Training

Transformer quantization and binarization exploration

Training neural nets with quantized weights on arbitrarily specified bit-depth

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…

Quantization for Object Detection in Tensorflow 2.x

QAT

A lightweight Convolutional Autoencoder for recognizing Bangla font styles along with quantization for deploying resource-constrained IoT devices.

Quantization Aware Training

8 bit quantizated Transformer for neural machine translation.