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followers: 228.0 following: 12.0 repos: 34.0 gists: 0.0

Name: Haotong Qin

Type: User

Company: ETH Zurich

Bio: Postdoctoral Researcher @ ETH Zürich #DeepLearning #ModelCompression #Quantization #ComputerVision

Twitter: qin_haotong

Location: Zürich, Switzerland

Blog: https://htqin.github.io/

Haotong Qin's Projects

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

aot

Associating Objects with Transformers for Video Object Segmentation

aot-benchmark

An efficient modular implementation of Associating Objects with Transformers for Video Object Segmentation in PyTorch

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

awesome-efficient-llm

A curated list for Efficient Large Language Models

awesome-llm-compression

Awesome LLM compression research papers and tools.

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.

bibench

[ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binarization.

bibert

This project is the official implementation of our accepted ICLR 2022 paper BiBERT: Accurate Fully Binarized BERT.

bifsmn

Pytorch implementation of BiFSMN, IJCAI 2022

bifsmnv2

Pytorch implementation of BiFSMNv2, TNNLS 2023

bimatting

[NeurIPS 2023] This project is the official implementation of our accepted NeurIPS 2023 paper BiMatting: Efficient Video Matting via Binarization.

bipointnet

This project is the official implementation of our accepted ICLR 2021 paper BiPointNet: Binary Neural Network for Point Clouds.

cnn-quantization

Quantization of Convolutional Neural networks.

colossalai

Making big AI models cheaper, easier, and scalable

cv

Geoff Boeing's academic CV in LaTex

dabnn

dabnn is an accelerated binary neural networks inference framework for mobile platform

dfq

PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.

dsg

This project is the official implementation of our accepted IEEE TPAMI paper Diverse Sample Generation: Pushing the Limit of Data-free Quantization

googlebard-visunderstand

How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges

gpt4free

decentralising the Ai Industry, just some language model api's...

ir-net

[CVPR 2020] This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural networks.

ir-qlora

[ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retention

micronet

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

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