810 Open source projects that are alternatives of or similar to text_classifier

A comprehensive approach on recognizing emotion (sentiment) from a certain tweet. Supervised machine learning.

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An open source implementation of CLIP.

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基于法律裁判文书的事件抽取及其应用，包括数据的分词、词性标注、命名实体识别、事件要素抽取和判决结果预测等内容

code for "Determining Gains Acquired from Word Embedding Quantitatively Using Discrete Distribution Clustering" ACL 2017

对 ansj 编写的 Word2VEC_java 的进一步包装，同时实现了常用的词语相似度和句子相似度计算。

ProtVec can be used in protein interaction predictions, structure prediction, and protein data visualization.

Experimental Haskell machine learning library

Word2Vec encodings based search engine for Stackoverflow questions

Compass-aligned Distributional Embeddings. Align embeddings from different corpora

Natural World Tasks

extract relationships from standardized terms from corpus of interest with deep learning 🐟

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Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

NLP pipeline using word2vec (preprocessing/embedding/prediction/clustering)

A parallel implementation of word2vec based on Spark

An Out-of-the-Box Replication of GANimation using PyTorch, pretrained weights are available!

Load embeddings and featurize your sentences.

Ramp up your custom natural language processing (NLP) task, allowing you to bring your own data, use your preferred frameworks and bring models into production.

SIGIR 2017: Embedding-based query expansion for weighted sequential dependence retrieval model

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Sample code for training Word2Vec and FastText using wiki corpus and their pretrained word embedding..

Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting

Codenames AI using Word Vectors

document embedding and machine learning script for beginners

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

Code for NeurIPS 2019 Paper

📐Julia's implementation of word2vec in R

An unofficial implementation of asm2vec as a standalone python package

Visualization of semantic similarities in word embeddings.

This is the baseline of Kaggle-dog-breed-classification on Python, Keras, and TensorFlow.

利用wikipedia中英文的語料訓練Word2vec模型

Hyperstar: Negative Sampling Improves Hypernymy Extraction Based on Projection Learning.

Text Mining for Indonesian Online News Articles About Corona

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

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this is roberta wwm base distilled model which was distilled from roberta wwm by roberta wwm large

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Pre-trained Word2Vec Model for Turkish

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A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).

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Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

Train Wikidata with word2vec for word embedding tasks