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2022-study

efficientdet-pytorch

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

finetune-transformer-lm

Code and model for the paper "Improving Language Understanding by Generative Pre-Training"

hello-world

kd-qat-large-enc

[EMNLP 2022 main] Code for "Understanding and Improving Knowledge Distillation for Quantization-Aware-Training of Large Transformer Encoders"

llm-awq

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

lsq-net

Unofficial implementation of LSQ-Net, a neural network quantization framework

marsjacobs.github.io

mbv1_brevitas

This is MobileNetv1 Brevitas based Quantization-aware-Training Framework

model-quantization

Collections of model quantization algorithms

nsmc-klue-bert

pretrained-language-model

Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

profit

qbert

terngemm

TernGEMM: General Matrix Multiply Library with Ternary Weights for Fast DNN Inference

ti-kd-qat

[EACL 2023 main] This Repository provides a Pytorch implementation of Teacher Intervention: Improving Convergence of Quantization Aware Training for Ultra-Low Precision Transformers

tsld

[NeurIPS 2023] Token-Scaled Logit Distillation for Ternary Weight Generative Language Models

yet-another-efficientdet-pytorch

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.