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2d-cnn-ids-for-ivns

annotated-tnn

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

gptq

Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".

mixture-of-experts

PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538

mqbench

Model Quantization Benchmark

ptq4vit

Post-Training Quantization for Vision transformers.

pytorch-playground

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

pytorch_quantization_fx

An example to quantize MobileNetV2 trained on CIFAR-10 dataset with PyTorch

pytorch_transformer_chinese_text_classification

本项目演示如何在PyTorch中使用Transformer模型进行中文文本分类

quantorch

PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"

robust-single-accelerometer-based-activity-recognition-using-modified-recurrence-plot

tnn

[ICLR 2023] Official implementation of Transnormer in our ICLR 2023 paper - Toeplitz Neural Network for Sequence Modeling

tnn-pytorch

transformer