477 Open source projects that are alternatives of or similar to Kate

Beautiful visualizations of how language differs among document types.

Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.

BERT, LDA, and TFIDF based keyword extraction in Python

R package for web-based interactive topic model visualization.

Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019

A practical guide to topic mining and interactive visualizations

A PureScript, browser-based implementation of LDA topic modeling.

This repository contains code and bonus content which will be added from time to time for the book "Learning Social Media Analytics with R" by Packt

Representation learning for link prediction within social networks

Conversational text Analysis using various NLP techniques

Various Algorithms for Short Text Mining

Fast vectorization, topic modeling, distances and GloVe word embeddings in R.

Weaving analytical stories from text data

자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.

[KDD 2020] Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding

🌐 Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization

State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox

Resources for learning about Text Mining and Natural Language Processing

Fast topic modeling platform

Machine Learning Lectures at the European Space Agency (ESA) in 2018

PyTorch implementation of 'An Unsupervised Neural Attention Model for Aspect Extraction' by He et al. ACL2017'

Python implementation of bag-of-concepts

Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)

Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.

Convolutional Autoencoder for Loop Closure

Datasets, tools, and benchmarks for representation learning of code.

Structural Deep Clustering Network

Using Deep Autoencoders for predictions of movie ratings.

Training and evaluating a variational autoencoder for pan-cancer gene expression data

Semantic Entity Retrieval Toolkit

Anomaly detection for streaming data using autoencoders

Short Text Topic Modeling, JAVA

Tensorflow implementation : U-net and FCN with global convolution

CogComp's light-weight Python NLP annotators

PyTorch implementation of DEC (Deep Embedding Clustering)

A Pytorch implementation for the ZeroSpeech 2019 challenge.

短文本聚类预处理模块 Short text cluster

Char-level RNN LSTM text generator📄.

This repo includes the source code of the fully convolutional depth denoising model presented in https://arxiv.org/pdf/1909.01193.pdf (ICCV19)

PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"

The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

Deep Learning sample programs using PyTorch in C++

A data package containing lexicons and dictionaries for text analysis

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

a curated list of R tutorials for Data Science, NLP and Machine Learning

A Python toolbox for gaining geometric insights into high-dimensional data

A curated list of NLP resources for Hungarian

Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.

Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)

A point-and-click tool for creating and analyzing topic models produced by MALLET.

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

List of textual data sources to be used for text mining in R

🍊 📄 Text Mining add-on for Orange3

Deep learning meets molecular dynamics.

Easily access song lyrics from Genius in a tibble.

ConMask model described in paper Open-world Knowledge Graph Completion.

ICE: Item Concept Embedding

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

Keras implementation of Structural Deep Network Embedding, KDD 2016