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

Manuscript of the book "Tidy Text Mining with R" by Julia Silge and David Robinson

Who Let The Dogs Out? Modeling Dog Behavior From Visual Data https://arxiv.org/pdf/1803.10827.pdf

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

Easily access song lyrics from Genius in a tibble.

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

A configurable web spider with a easy-to-use web console

Tensorflow implementation : U-net and FCN with global convolution

The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset.

CogComp's light-weight Python NLP annotators

Repo for Applied Text Mining in Python (coursera) by University of Michigan

Semantic Entity Retrieval Toolkit

PyTorch implementation of DEC (Deep Embedding Clustering)

Multilingual Meta-Embeddings for Named Entity Recognition (RepL4NLP & EMNLP 2019)

PipeIt is a text transformation, conversion, cleansing and extraction tool.

A Pytorch implementation for the ZeroSpeech 2019 challenge.

topics Models extension for Mallet & scikit-learn

短文本聚类预处理模块 Short text cluster

Frame level anomaly detection and localization in videos using auto-encoders

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"

representation learning on attributed graphs

Keras implementation of Structural Deep Network Embedding, KDD 2016

GraphVite: A General and High-performance Graph Embedding System

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

Deep Learning sample programs using PyTorch in C++

A word2vec port for Windows.

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

Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"

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

Text mining using tidy tools ✨📄✨

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

MetaSRA: normalized sample-specific metadata for the Sequence Read Archive

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

🍊 📄 Text Mining add-on for Orange3

NLP pipeline software using common workflow language

Deep learning meets molecular dynamics.

Gradients as Features for Deep Representation Learning

ICE: Item Concept Embedding

Automatic Feature Generation for Website Fingerprinting

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

A collection of research on knowledge graphs

A package for Multiple Kernel Learning in Python

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

EMNLP 2018: HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding

Autoencoders in Keras

PyTorch Blog Post On Image Similarity Search

Advanced Deep Learning with Keras, published by Packt

Owl - OCaml Scientific and Engineering Computing @ http://ocaml.xyz

Code for unsupervised aspect extraction, using Keras and its Backends

A python library for Collective Matrix Factorization (CMF)

Topic modeling with word vectors

Use unsupervised and supervised learning to predict stocks

Text Mining in Python

AutoPhrase: Automated Phrase Mining from Massive Text Corpora

A Shiny Application for Inspecting Structural Topic Models

Python implementation of the Rapid Automatic Keyword Extraction algorithm using NLTK.