Pinned Repositories
BERT-NER
Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.
e3d_lstm
recur
faceRecognition
Easy and simple face recognition with high FPS, antispoof, and face detection
fduthesis
LaTeX thesis template for Fudan University
Fewshot_Detection
Few-shot Object Detection via Feature Reweighting
FTP_Project_Assistant
For machine learning related teacher assistant to easily get all accuracy information of students' test.tsv
GrabGPU
Grab GPU whenever available
MatchingNetworks
An attempt at replicating the Matching Networks for One Shot Learning in Tensorflow - Paper URL: https://arxiv.org/pdf/1606.04080.pdf
prototypical-networks
Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
SSDG-CVPR2020
Single-Side Domain Generalization for Face Anti-Spoofing, CVPR2020
ojipadeson's Repositories
ojipadeson/faceRecognition
Easy and simple face recognition with high FPS, antispoof, and face detection
ojipadeson/e3d_lstm
recur
ojipadeson/Fewshot_Detection
Few-shot Object Detection via Feature Reweighting
ojipadeson/MatchingNetworks
An attempt at replicating the Matching Networks for One Shot Learning in Tensorflow - Paper URL: https://arxiv.org/pdf/1606.04080.pdf
ojipadeson/prototypical-networks
Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
ojipadeson/SSDG-CVPR2020
Single-Side Domain Generalization for Face Anti-Spoofing, CVPR2020
ojipadeson/BERT-NER
Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.
ojipadeson/fduthesis
LaTeX thesis template for Fudan University
ojipadeson/FTP_Project_Assistant
For machine learning related teacher assistant to easily get all accuracy information of students' test.tsv
ojipadeson/GrabGPU
Grab GPU whenever available
ojipadeson/LM-BFF
ACL'2021: LM-BFF: Better Few-shot Fine-tuning of Language Models
ojipadeson/NER-BERT-CRF
ojipadeson/NER-BiLSTM-CRF-PyTorch
PyTorch implementation of BiLSTM-CRF and Bi-LSTM-CNN-CRF models for named entity recognition.
ojipadeson/NLP-SST-AdvanceBert
NLP course project on SST-2 reaching 90% accuracy using Transformers
ojipadeson/NLPGNN
1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.
ojipadeson/NSP-BERT
The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"
ojipadeson/pl_prompt_sst2
An example project using OpenPrompt under pytorch-lightning for prompt-based SST2 sentiment analysis model
ojipadeson/pytorch-generative-adversarial-networks
A very simple generative adversarial network (GAN) in PyTorch
ojipadeson/pytorch.repmet
Currently: Magnet Loss and RepMet in pytorch .. Later: Stay Tuned
ojipadeson/pytorch_NER_BiLSTM_CNN_CRF
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF implement in pyotrch
ojipadeson/Swin-Transformer-add-EncNet-DaNet-DraNet-for-semantic-segmentation-on-Statelite-Dataset
ojipadeson/Word-Embedding-SST
NLP word embedding course project