ky941122's repositories
BELLE
BELLE: Be Everyone's Large Language model Engine(开源中文对话大模型)
CCL2019-Chinese-Humor-Computation
CCL2019,“小牛杯”中文幽默计算任务的数据集及baseline
cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
EEND
End-to-End Neural Diarization
Induction-Network-on-FewRel
An attempt at replicating the Induction Network for FewRel data in Tensorflow
jacobian_regularizer
A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.
joint-mrc
机器检索阅读联合学习,莱斯杯:全国第二届“军事智能机器阅读”挑战赛 rank6 方案
kaggle-freesound-audio-tagging
8th place solution (on Kaggle) to the Freesound General-Purpose Audio Tagging Challenge (DCASE 2018 - Task 2)
kaggle_birdcall_identification
Code for the Cornell Birdcall Identification competition
MLCR
Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition (NeurIPS 2019)
multi-domain-sentiment
Code for the paper Learning Domain-specific Representations for Multi-Domain Sentiment Classification
PyTorch-Image-Retrieval
A PyTorch framework for an image retrieval task including implementation of N-pair Loss (NIPS 2016) and Angular Loss (CVPR 2017).
PyTorch_Speaker_Verification
PyTorch implementation of "Generalized End-to-End Loss for Speaker Verification" by Wan, Li et al.
senet.pytorch
PyTorch implementation of SENet
SimCSE
SimCSE在中文任务上的简单实验
SincNet
SincNet is a neural architecture for efficiently processing raw audio samples.
swa
Stochastic Weight Averaging in PyTorch
uis-rnn
This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.
variational-autoencoder
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
visualbert
Code for the paper "VisualBERT: A Simple and Performant Baseline for Vision and Language"
VL-BERT
Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".
WordGCN
ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks