yimingw17's Stars
pgcool/iDocNADEe
AAAI 2019 paper: "Document Informed Neural Autoregressive Topic Models with Distributional Prior" (a Contextualized Neural Topic Model with Word Embeddings). Models: DocNADE, iDocNADE, DocNADEe and iDocNADEe
AYLIEN/docnade
TensorFlow implementation of DocNADE
zbchern/Neural-Relational-Topic-Models
LC-John/Yahoo-Answers-Topic-Classification-Dataset
jasperyang/BTMpy
BTM in python
valdersoul/GraphBTM
Code for paper "GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model". Under preparation.
BobXWu/NQTM
Code for Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder (EMNLP2020).
google-research/uda
Unsupervised Data Augmentation (UDA)
dragen1860/MAML-Pytorch
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
laserwave/lda_variational_em
a python implementation of latent dirichlet allocation(lda) using variational EM algorithm
kzhai/PyLDA
A Latent Dirichlet Allocation implementation in Python.
iBelieveCJM/Tricks-of-Semi-supervisedDeepLeanring-Pytorch
PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch
cs231n/gcloud
Google Cloud tutorial and setup
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
fengdu78/deeplearning_ai_books
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
Flowerfan/Open-Reid
Self-Paced Multi-view Co-training for person re-id experiment
davidaknowles/gamma_sgvb
BoChenGroup/WHAI
This is the demo code for "WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling"
is0383kk/Dirichlet-VAE
Dirichlet-Variational Auto-Encoder by PyTorch
moinnabi/SelfPacedDeepLearning
Cysu/open-reid
Open source person re-identification library in python
dpkingma/nips14-ssl
Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"
google-research/bert
TensorFlow code and pre-trained models for BERT
yumeng5/LOTClass
[EMNLP 2020] Text Classification Using Label Names Only: A Language Model Self-Training Approach
yfeng95/GAN_Theories
Resources and Implementations of Generative Adversarial Nets which are focusing on how to stabilize training process and generate high quality images: DCGAN, WGAN, EBGAN, BEGAN, etc.
goodfeli/adversarial
Code and hyperparameters for the paper "Generative Adversarial Networks"
yfeng95/GAN
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
fernandobperezm/UndergradThesis-RecSysCotraining
This repository holds the implementation, for the thesis project: Improving Collaborative Filtering Techniques by the use of Co-Training in Recommender Systems. This project was done under a thesis research for Fernando Benjamín Pérez Maurera, under supervision of Professor Paolo Cremonesi and Engineer Maurizio Ferrari, at Politecnico di Milano.
tongchangD/text_data_enhancement_with_LaserTagger
Modify Chinese text, modified on LaserTagger Model. 文本复述,基于lasertagger做中文文本数据增强。