Stars
ICML2024-ReconBoost: Boosting Can Achieve Modality Reconcilement
SiamAtt: Siamese attention network for visual tracking
✨ Awesome - A curated list of amazing Topic Models (implementations, libraries, and resources)
t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections
A Python implementation of Hidden Topic Markov Model
CancelOut is a special layer for deep neural networks that can help identify a subset of relevant input features for streaming or static data.
# Topic modeling with BERT, LDA and Clustering. Latent Dirichlet Allocation(LDA) probabilistic topic assignment and pre-trained sentence embeddings from BERT/RoBERTa.
AutoX is an efficient automl tool, which is mainly aimed at data mining tasks with tabular data.
A package to run embedded topic modelling with ETM. Adapted from the original at: https://github.com/adjidieng/ETM
Tensorflow implementation for prodLDA and NVLDA.
Code for paper "GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model". Under preparation.
weberrr / DeepCTR-Torch
Forked from shenweichen/DeepCTR-Torch【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
implementation for classic RecommenderSystem models
RestFB is a simple and flexible Facebook Graph API client written in Java.
A data set regarding news veracity on social media. Published at ICWSM-18.