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awesome-model-quantization

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

bard-api

The unofficial python package that returns response of Google Bard through cookie value.

conference-acceptance-rate

Acceptance rates for the major AI conferences

dash-distributed-smcc

evoprompt

Official implementation of the paper Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers

gptq

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

imagenet

This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)

imagenet-1k

ImageNet-1K data download, processing for using as a dataset

lm-evaluation-harness

A framework for few-shot evaluation of autoregressive language models.

ml-postech.github.io

ML lab page

nlp-uncertainty-zoo

Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.

paperlist

report reading paper list

plum

Prompt Learning using Metaheuristics

reclor

Code for "ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning" (ICLR 2020)

shuoxing98.github.io

toolformer

Implementation of Toolformer: Language Models Can Teach Themselves to Use Tools