yxt031's starred repositories
sentence-transformers
Multilingual Sentence & Image Embeddings with BERT
chinese_im2text.pytorch
PyTorch implementation of Chinese image captioning on AI_challenger dataset
updown-baseline
Baseline model for nocaps benchmark, ICCV 2019 paper "nocaps: novel object captioning at scale".
Zero-shot-Image-Captioner
A PyTorch implementation of the Novel Object Captioner
NeuralBabyTalk
Pytorch code of for our CVPR 2018 paper "Neural Baby Talk"
neural-motifs
Code for Neural Motifs: Scene Graph Parsing with Global Context (CVPR 2018)
SceneGraphParser
A python toolkit for parsing captions (in natural language) into scene graphs (as symbolic representations).
Faster-R-CNN-with-model-pretrained-on-Visual-Genome
Faster RCNN model in Pytorch version, pretrained on the Visual Genome with ResNet 101
class-incremental-learning
PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)
learning_without_memorizing
A pytorch implementation of CVPR 2019 paper Learning without Memorizing.
pytorch-ewc
Unofficial PyTorch implementation of DeepMind's PNAS 2017 paper "Overcoming Catastrophic Forgetting"
LocationTagger
This repository provides a Location Tagger, for identifying locations, using a BERT-CRF Tagger. It creates a Location chunk using IOB tags when it finds one or more location words.
constrained_beam_search
A tensorflow implementation of constrained beam search that supports arbitrary constraint definitions.
pycorrector
pycorrector is a toolkit for text error correction. 文本纠错,实现了Kenlm,T5,MacBERT,ChatGLM3,LLaMA等模型应用在纠错场景,开箱即用。
deepcorrect
Text and Punctuation correction with Deep Learning
Awesome-Incremental-Learning
Awesome Incremental Learning
Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
Universal-Domain-Adaptation
Code release for Universal Domain Adaptation(CVPR 2019)
ImageCaptioning
Image Captioning with Sparsed Transformer and Persistent Memory
pytorch-meta
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch