285 Open source projects that are alternatives of or similar to lxa5

An unsupervised Chinese word segmentation tool.

Unsupervised Learning to Market Behavior Forecasting Example

An extensive Python library for dealing with FoLiA (Format for Linguistic Annotation) documents, a rich XML-based format for linguistic annotation finding application in Natural Language Processing (NLP). This library was formerly part of PyNLPl.

Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.

[ICCVW 2021] Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement

Yet Another (natural language) Parser

FoLiA: Format for Linguistic Annotation - FoLiA is a rich XML-based annotation format for the representation of language resources (including corpora) with linguistic annotations. A wide variety of linguistic annotations are supported, making FoLiA a useful format for NLP tasks and data interchange. Note that the actual Python library for proces…

PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"

official implemntation for "Contrastive Learning with Stronger Augmentations"

Stanford CoreNLP in idiomatic Clojure.

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

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Experiments on unsupervised point cloud reconstruction.

A Python package that do stemming, tokenization, sentence breaking, segmentation, normalization, POS tagging for Arabic language.

Natural language processing in examples and games

🍘 単語分割を経由しない単語埋め込み 🍘

Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.

Morphological analyzer `mystem` (Russian language) wrapper for JVM languages

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🙊 A set of scripts to use in preparing a corpus for speech-to-text processing with the Kaldi Automatic Speech Recognition Library.

machine learning algorithms in Swift

Unicode tokeniser. Ucto tokenizes text files: it separates words from punctuation, and splits sentences. It offers several other basic preprocessing steps such as changing case that you can all use to make your text suited for further processing such as indexing, part-of-speech tagging, or machine translation. Ucto comes with tokenisation rules …

BLLIP reranking parser (also known as Charniak-Johnson parser, Charniak parser, Brown reranking parser) See http://pypi.python.org/pypi/bllipparser/ for Python module.

Main component extraction for outlier detection

Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.

[ICCV 2019] Recursive Cascaded Networks for Unsupervised Medical Image Registration

[MICCAI'18] Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences

TOD: GPU-accelerated Outlier Detection via Tensor Operations

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[CVPR 2017] Unsupervised deep learning using unlabelled videos on the web

[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)

A keyphrase extractor for Persian

🐍 Python library for n-gram models in ARPA format

Code for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' [MICCAI 2021]

Stemmer for German

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

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Caffe implementation for "Guided Optical Flow Learning"

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Code release for "Learning Shape Abstractions by Assembling Volumetric Primitives " (CVPR 2017)

Sentiment analysis of tweets in Russian using Convolutional Neural Networks (CNN) with Word2Vec embeddings.

New York Times Word Innovation Types dataset

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

Neural Relation Understanding: neural cardinality estimators for tabular data

Measuring the Evolution of a Scientific Field through Citation Frames

This is a master project of some experiments with Neural Networks. Every project here is runnable, visualized and explained clearly.

Frog is an integration of memory-based natural language processing (NLP) modules developed for Dutch. All NLP modules are based on Timbl, the Tilburg memory-based learning software package.

Language Acquisition Research Tools

pyge: Holiday Gift Exchange Picker

Unsupervised learning of action classes with continuous temporal embedding (CVPR'19)

PyTorch open-source toolbox for unsupervised or domain adaptive object re-ID.

Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.

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Deep Metric Transfer for Label Propagation with Limited Annotated Data

Unsupervised machine learning Principal Component Analysis (PCA) on the Dow Jones Industrial Average index and it's respective 30 stocks to construct an optimized diversified intelligent portfolio.

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[WACV'22] Code repository for the paper "Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting", https://arxiv.org/abs/2106.10137.

Evaluate your word embeddings

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering