Experiments and examples converting Transformers to ONNX

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Philipp Schmid
Machine Learning Engineer & Tech Lead at Hugging FaceπŸ‘¨πŸ»β€πŸ’» πŸ€— Cloud enthusiast ☁️ AWS ML HERO πŸ¦ΈπŸ»β€β™‚οΈ Nuremberg πŸ‡©πŸ‡ͺ
Philipp Schmid
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

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A python package to perform same transformation to coco-annotation as performed on the image.

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Python3 / PyTorch implementation of the following paper: Fine-grained Semantics-aware Representation Enhancement for Self-supervisedMonocular Depth Estimation. ICCV 2021 (oral)

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A tool to prepare websites grabbed with wget for local viewing.

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Pytorch implementation of Zero-DCE++

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Code & Data for Enhancing Photorealism Enhancement

Code & Data for Enhancing Photorealism Enhancement

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Face-Recognition-Attendence-System I have developed this face recognition Attend

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PyTorch implementation of "ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context" (INTERSPEECH 2020)

ContextNet ContextNet has CNN-RNN-transducer architecture and features a fully convolutional encoder that incorporates global context information into

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Benchmark spaces - Benchmarks of how well different two dimensional spaces work for clustering algorithms

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PaRT: Parallel Learning for Robust and Transparent AI

PaRT: Parallel Learning for Robust and Transparent AI This repository contains the code for PaRT, an algorithm for training a base network on multiple

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[ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization

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Leveraging Two Types of Global Graph for Sequential Fashion Recommendation, ICMR 2021

This is the repo for the paper: Leveraging Two Types of Global Graph for Sequential Fashion Recommendation Requirements OS: Ubuntu 16.04 or higher ver

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Pytorch Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic

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Audio Source Separation is the process of separating a mixture into isolated sounds from individual sources

Audio Source Separation is the process of separating a mixture into isolated sounds from individual sources (e.g. just the lead vocals).

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Notes taking website build with Docker + Django + React.

Notes website. Try it in browser! / But how to run? Description. This is monorepository with notes website. Website provides web interface for creatin

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The 1st place solution of track2 (Vehicle Re-Identification) in the NVIDIA AI City Challenge at CVPR 2021 Workshop.

AICITY2021_Track2_DMT The 1st place solution of track2 (Vehicle Re-Identification) in the NVIDIA AI City Challenge at CVPR 2021 Workshop. Introduction

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Conflict-aware Inference of Python Compatible Runtime Environments with Domain Knowledge Graph, ICSE 2022

PyCRE Conflict-aware Inference of Python Compatible Runtime Environments with Domain Knowledge Graph, ICSE 2022 Dependencies This project is developed

<a href=[email protected]"> 7 May 06, 2022
Sound-guided Semantic Image Manipulation - Official Pytorch Code (CVPR 2022)

πŸ”‰ Sound-guided Semantic Image Manipulation (CVPR2022) Official Pytorch Implementation Sound-guided Semantic Image Manipulation IEEE/CVF Conference on

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iBOT: Image BERT Pre-Training with Online Tokenizer

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Mixed Transformer UNet for Medical Image Segmentation

MT-UNet Update 2022/01/05 By another round of training based on previous weights, our model also achieved a better performance on ACDC (91.61% DSC). W

dotman 92 Dec 25, 2022