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anima

33B Chinese LLM, DPO QLORA, 100K context, AirLLM 70B inference with single 4GB GPU

awesome-model-compression

papers about model compression

burgerformer

cmt.pytorch

Pytorch implementation of our CVPR 2022 paper CMT: Convolutional Neural Networks Meet Vision Transformers (https://arxiv.org/pdf/2107.06263.pdf).

ddsas

dog

example

示例

howtolivelonger

程序员延寿指南 | A programmer's guide to live longer

knowledge-distillation-zoo

Pytorch implementation of various Knowledge Distillation (KD) methods.

longxing.github.com

model-compression

model compression based on pytorch (1、quantization: 16/8/4/2 bits(dorefa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、ternary/binary value(twn/bnn/xnor-net)；2、 pruning: normal、regular and group convolutional channel pruning；3、 group convolution structure；4、batch-normalization folding for quantization)

modelcompression-2019

nasbench301

onnx

Open standard for machine learning interoperability

pinat

[AAAI '23] PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

single-path-one-shot-nas

SPOS(Single Path One-Shot Neural Architecture Search with Uniform Sampling) rebuilt in Pytorch with single GPU.

sweetgradient

thundernet_pytorch

Implementation Thundernet

websecurity

Project