Pinned Repositories
bottom-up-attention
Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
bottom-up-attention.pytorch
An PyTorch reimplementation of bottom-up-attention models
CK-Transformer
this is the repository for paper: CK-Transformer: Commonsense Knowledge Enhanced Transformers for Referring Expression Comprehension
GPS
This is the repository for paper: Gradient-based Parameter Selection for Efficient Fine-Tuning
hateful-memes
HatefulMemesChallenge
HowToTrainYourMAMLPytorch
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
InferSent
KB-Ref_dataset
lxmls-toolkit
Machine Learning applied to Natural Language Processing Toolkit used in the Lisbon Machine Learning Summer School
FightingFighting's Repositories
FightingFighting/GPS
This is the repository for paper: Gradient-based Parameter Selection for Efficient Fine-Tuning
FightingFighting/CK-Transformer
this is the repository for paper: CK-Transformer: Commonsense Knowledge Enhanced Transformers for Referring Expression Comprehension
FightingFighting/bottom-up-attention
Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
FightingFighting/bottom-up-attention.pytorch
An PyTorch reimplementation of bottom-up-attention models
FightingFighting/hateful-memes
FightingFighting/HatefulMemesChallenge
FightingFighting/HowToTrainYourMAMLPytorch
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
FightingFighting/InferSent
FightingFighting/KB-Ref_dataset
FightingFighting/lxmls-toolkit
Machine Learning applied to Natural Language Processing Toolkit used in the Lisbon Machine Learning Summer School
FightingFighting/maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
FightingFighting/meme_challenge
Repository containing code from team Kingsterdam for the Hateful Memes Challenge
FightingFighting/meta_learning_multilingual_doc_classification
Placeholder repository
FightingFighting/ProtoMAML_MultiTask
Project for the UvA course on Advanced Topics in Computational Semantics
FightingFighting/prototypical-networks
Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
FightingFighting/Prototypical-Networks-for-Few-shot-Learning-PyTorch
Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch
FightingFighting/py-bottom-up-attention
PyTorch bottom-up attention with Detectron2
FightingFighting/UNITER
Research code for ECCV 2020 paper "UNITER: UNiversal Image-TExt Representation Learning"
FightingFighting/vilbert-multi-task
Multi Task Vision and Language
FightingFighting/vilbert_beta