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Hi there 👋

My name is Niels, I'm 27 years old and I live in Belgium.

I'm currently working as an ML engineer @ 🤗 HuggingFace, where I'm part of the Open-Source team.

I work on HuggingFace Transformers, a Python library implementing several state-of-the-art AI algorithms, all based on the original Transformer by Google.

I love making AI more accessible to anyone. So far, I've contributed the following algorithms to HuggingFace Transformers:

Besides that, I help others add models to the library, including:

I'm mostly working with PyTorch. For IDEs, I work with Visual Studio Code and Google Colab. It's all you need.

I learned everything about deep learning through self-study, mainly thanks to Andrej Karpathy's cs231n course at Stanford University (lectures are free on Youtube and assigment solutions can be found on Github).

nielsrogge's Projects

table-transformer icon table-transformer

Model training and evaluation code for our dataset PubTables-1M, developed to support the task of table extraction from unstructured documents.

tapas icon tapas

End-to-end neural table-text understanding models.

tapas_utils icon tapas_utils

A package containing utils for the PyTorch version of the Tapas algorithm.

tensor2tensor icon tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

tokenizers icon tokenizers

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

transformers icon transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

unilm icon unilm

UniLM - Unified Language Model Pre-training / Pre-training for NLP and Beyond

up-detr icon up-detr

[CVPR2021 Oral] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers

videomae icon videomae

VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

videox icon videox

VideoX: a collection of video cross-modal models

vilt icon vilt

Code for the ICML 2021 (long talk) paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"

vision icon vision

Datasets, Transforms and Models specific to Computer Vision

vision-transformer-papers icon vision-transformer-papers

This repository contains an overview of important follow-up works based on the original Vision Transformer (ViT) by Google.

vitmatte icon vitmatte

Boosting Image Matting with Pretrained Plain Vision Transformers

vitpose icon vitpose

PyTorch implementation of ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation

yolos icon yolos

You Only Look at One Sequence (NeurIPS 2021)

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