Efficient Training of Visual Transformers with Small Datasets

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Owner
Yahui Liu
Yahui Liu currently studies in Multimedia and Human Understanding Group (MHUG), University of Trento, Italy.
Yahui Liu
GitHub Repository
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search

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DiffQ performs differentiable quantization using pseudo quantization noise. It can automatically tune the number of bits used per weight or group of weights, in order to achieve a given trade-off between model size and accuracy.

Differentiable Model Compression via Pseudo Quantization Noise DiffQ performs differentiable quantization using pseudo quantization noise. It can auto

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A collection of IPython notebooks covering various topics.

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QilingLab challenge writeup

qiling lab writeup shielder 在 2021/7/21 發布了 QilingLab 來幫助學習 qiling framwork 的用法，剛好最近有用到，順手解了一下並寫了一下 writeup。 前情提要 Qiling 是一款功能強大的模擬框架，和 qemu user mode

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Yolo algorithm for detection + centroid tracker to track vehicles

Vehicle Tracking using Centroid tracker Algorithm used : Yolo algorithm for detection + centroid tracker to track vehicles Backend : opencv and python

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Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding

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Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning (NeurIPS 2021 Spotlight)

[NeurIPS 2021 Spotlight] HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning [Paper] This is Official PyTorch implementatio

42 Nov 01, 2022
Official implementation of the paper ``Unifying Nonlocal Blocks for Neural Networks'' (ICCV'21)

Spectral Nonlocal Block Overview Official implementation of the paper: Unifying Nonlocal Blocks for Neural Networks (ICCV'21) Spectral View of Nonloca

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MetaDrive: Composing Diverse Scenarios for Generalizable Reinforcement Learning

MetaDrive: Composing Diverse Driving Scenarios for Generalizable RL [ Documentation | Demo Video ] MetaDrive is a driving simulator with the following

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This is a clean and robust Pytorch implementation of DQN and Double DQN.

DQN/DDQN-Pytorch This is a clean and robust Pytorch implementation of DQN and Double DQN. Here is the training curve: All the experiments are trained

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This is an open source library implementing hyperbox-based machine learning algorithms

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This program writes christmas wish programmatically. It is using turtle as a pen pointer draw christmas trees and stars.

Introduction This is a simple program is written in python and turtle library. The objective of this program is to wish merry Christmas programmatical

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MvtecAD unsupervised Anomaly Detection

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[CVPR2021] UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles

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129 Jan 04, 2023
利用Tensorflow实现基于CNN的中文短文本分类

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Speckle-free Holography with Partially Coherent Light Sources and Camera-in-the-loop Calibration

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Reproduces ResNet-V3 with pytorch

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SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs

SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs SMORE is a a versatile framework that scales multi-hop query emb

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HCQ: Hybrid Contrastive Quantization for Efficient Cross-View Video Retrieval

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Automatic self-diagnosis program (python required)Automatic self-diagnosis program (python required)

auto-self-checker 자동으로 자가진단 해주는 프로그램(python 필요) 중요 이 프로그램이 실행될때에는 절대로 마우스포인터를 움직이거나 키보드를 건드리면 안된다(화면인식, 마우스포인터로 직접 클릭) 사용법 프로그램을 구동할 폴더 내의 cmd창에서 pip

1 Dec 30, 2021