1186 Open source projects that are alternatives of or similar to Nlp Journey

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

NLP research：基于tensorflow的nlp深度学习项目，支持文本分类/句子匹配/序列标注/文本生成 四大任务

Using pre trained word embeddings (Fasttext, Word2Vec)

自然语言处理工具Macropodus，基于Albert+BiLSTM+CRF深度学习网络架构，中文分词，词性标注，命名实体识别，新词发现，关键词，文本摘要，文本相似度，科学计算器，中文数字阿拉伯数字(罗马数字)转换，中文繁简转换，拼音转换。tookit(tool) of NLP，CWS(chinese word segnment)，POS(Part-Of-Speech Tagging)，NER(name entity recognition)，Find(new words discovery)，Keyword(keyword extraction)，Summarize(text summarization)，Sim(text similarity)，Calculate(scientific calculator)，Chi2num(chinese number to arabic number)

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

Fast word vectors with little memory usage in Python

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

A fast, efficient universal vector embedding utility package.

BERT-NER (nert-bert) with google bert https://github.com/google-research.

Implementation of State-of-the-art Text Classification Models in Pytorch

Topic Modelling for Humans

An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.

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

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

经典机器学习算法的极简实现

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

Persian sentiment analysis ( آناکاوی سهش های فارسی | تحلیل احساسات فارسی )

No description or website provided.

Repo for my talk at the PyData Berlin 2017 conference

Keras solution of Chinese NER task using BiLSTM-CRF/BiGRU-CRF/IDCNN-CRF model with Pretrained Language Model: supporting BERT/RoBERTa/ALBERT

Simple machine learning library / 簡單易用的機器學習套件

ACL 2018: Hybrid semi-Markov CRF for Neural Sequence Labeling (http://aclweb.org/anthology/P18-2038)

pytorch实现bert做seq2seq任务，使用unilm方案,现在也可以做自动摘要，文本分类，情感分析，NER，词性标注等任务,支持GPT2进行文章续写。

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

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

An easy-to-use named entity recognition (NER) toolkit, implemented the Bi-LSTM+CRF model in tensorflow.

Compute Sentence Embeddings Fast!

A Dataset of German Legal Documents for Named Entity Recognition

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

Embedding模型代码和学习笔记总结

The reference implementation of "Multi-scale Attributed Node Embedding".

R package to Embed All the Things! using StarSpace

Telegram Data Clustering contest solution by Mindful Squirrel

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

Python code for common Machine Learning Algorithms

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

🦆 Contextually-keyed word vectors

Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)

Code for Tensorflow Machine Learning Cookbook

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

Deep neural network framework for multi-label text classification

Reproduce simple cv project including attention module, classification, object detection, segmentation, keypoint detection, tracking 😄 etc.

Empower Sequence Labeling with Task-Aware Language Model

A Structured Self-attentive Sentence Embedding

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

all kinds of text classification models and more with deep learning

Service Classification based on Service Description

Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of classification algorithm are implemented: Support Vector Machine (SVM), Gaussian Quadratic Maximum Likelihood and K-nearest neighbors (KNN) and Gaussian Mixture Model(GMM).

中文詞向量訓練教學

🏭 JavaScript Machine Learning Toolkit

DeFactoNLP: An Automated Fact-checking System that uses Named Entity Recognition, TF-IDF vector comparison and Decomposable Attention models.

All about Neural Networks!

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

中文命名实体识别（包括多种模型：HMM，CRF，BiLSTM，BiLSTM+CRF的具体实现）

訓練中文詞向量 Word2vec, Word2vec was created by a team of researchers led by Tomas Mikolov at Google.

LSTM-CRF for NER with ConLL-2002 dataset

Machine learning based text classification in JavaScript using n-grams and cosine similarity

提取图像的灰度共生矩阵（GLCM），根据GLCM求解图像的概率特征，利用特征训练SVM分类器，对目标分类