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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

imagebind icon imagebind

ImageBind One Embedding Space to Bind Them All

jax-gcn icon jax-gcn

Graph Convolutional Networks in JAX

jepa icon jepa

PyTorch code and models for V-JEPA self-supervised learning from video.

kear icon kear

Official code for achieving human parity on CommonsenseQA with External Attention

language icon language

Shared repository for open-sourced projects from the Google AI Language team.

lavis icon lavis

LAVIS - A One-stop Library for Language-Vision Intelligence

lerobot icon lerobot

🤗 LeRobot: End-to-end Learning for Real-World Robotics in Pytorch

lightweight-gan icon lightweight-gan

Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two

lilt icon lilt

Official PyTorch implementation of LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding (ACL 2022)

llamagen icon llamagen

Autoregressive Model Beats Diffusion: 🦙 Llama for Scalable Image Generation

llava icon llava

Large Language-and-Vision Assistant built towards multimodal GPT-4 level capabilities.

luke icon luke

LUKE -- Language Understanding with Knowledge-based Embeddings

mae icon mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

mae_st icon mae_st

Official Open Source code for "Masked Autoencoders As Spatiotemporal Learners"

maskformer icon maskformer

Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)

matcha-tts icon matcha-tts

[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching

medsam icon medsam

The official repository for MedSAM: Segment Anything in Medical Images.

metrics icon metrics

Machine learning metrics for distributed, scalable PyTorch applications.

midas icon midas

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

mistral-src icon mistral-src

Reference implementation of Mistral AI 7B v0.1 model.

ml-aim icon ml-aim

This repository provides the code and model checkpoints of the research paper: Scalable Pre-training of Large Autoregressive Image Models

mmcv icon mmcv

OpenMMLab Computer Vision Foundation

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