NielsRogge
ML @HuggingFace. Interested in deep learning, NLP. Contributed 40+ models to HuggingFace Transformers
HuggingFaceBelgium
Pinned Repositories
awesome-huggingface
Repository containing awesome resources regarding Hugging Face tooling.
coco-eval
A tiny package supporting distributed computation of COCO metrics for PyTorch models.
CogVLM
a state-of-the-art-level open visual language model
Description2Process
Transforming textual descriptions into process models using deep learning
diffusion-notes
Some notes I took when learning about diffusion models.
tapas_utils
A package containing utils for the PyTorch version of the Tapas algorithm.
transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
unilm
UniLM - Unified Language Model Pre-training / Pre-training for NLP and Beyond
Vision-Transformer-papers
This repository contains an overview of important follow-up works based on the original Vision Transformer (ViT) by Google.
NielsRogge's Repositories
NielsRogge/Vision-Transformer-papers
This repository contains an overview of important follow-up works based on the original Vision Transformer (ViT) by Google.
NielsRogge/diffusion-notes
Some notes I took when learning about diffusion models.
NielsRogge/DCGAN-huggingface
An implementation of DCGAN, leveraging the HuggingFace ecosystem for getting data and pushing to the hub.
NielsRogge/DPT
Dense Prediction Transformers
NielsRogge/enformer-pytorch
Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch
NielsRogge/pix2seq
Pix2Seq - A general framework for turning RGB pixels into semantically meaningful sequences
NielsRogge/SegFormer
Official implementation of "SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers"
NielsRogge/Table-Pretraining
TAPEX: Table Pre-training via Learning a Neural SQL Executor
NielsRogge/YOLOS
You Only Look at One Sequence (NeurIPS 2021)
NielsRogge/community-events-1
Place where folks can contribute to 🤗 community events
NielsRogge/ConditionalDETR
This repository is an official implementation of the ICCV 2021 paper "Conditional DETR for Fast Training Convergence". (https://arxiv.org/abs/2108.06152)
NielsRogge/ConvNeXt
Code release for ConvNeXt model
NielsRogge/CS224N-Natural-Language-Processing-with-Deep-Learning
NielsRogge/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
NielsRogge/Deformable-DETR
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
NielsRogge/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
NielsRogge/GLPDepth
GLPDepth PyTorch Implementation: Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth
NielsRogge/KEAR
Official code for achieving human parity on CommonsenseQA with External Attention
NielsRogge/language
Shared repository for open-sourced projects from the Google AI Language team.
NielsRogge/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
NielsRogge/mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
NielsRogge/mmclassification
OpenMMLab Image Classification Toolbox and Benchmark
NielsRogge/nielsrogge.github.io
Build a Jekyll blog in minutes, without touching the command line.
NielsRogge/Nystromformer
NielsRogge/tab-transformer-pytorch
Implementation of TabTransformer, attention network for tabular data, in Pytorch
NielsRogge/tokenizers
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
NielsRogge/up-detr
[CVPR2021 Oral] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers
NielsRogge/VideoMAE
VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
NielsRogge/ViLT
Code for the ICML 2021 (long talk) paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"
NielsRogge/vision
Datasets, Transforms and Models specific to Computer Vision