822 Open source projects that are alternatives of or similar to Embedding

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

One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques

Code and data form the paper BERT Got a Date: Introducing Transformers to Temporal Tagging

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

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

Multiple implementations for abstractive text summurization , using google colab

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Using LSTM or Transformer to solve Image Captioning in Pytorch

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

NLP Core Library and Model Zoo based on PaddlePaddle 2.0

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

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition.

Multi-turn dialogue baselines written in PyTorch

Assessing Source Code Semantic Similarity with Unsupervised Learning

Fast word vectors with little memory usage in Python

All about Neural Networks!

A fast, efficient universal vector embedding utility package.

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

finalfusion embeddings in Rust

兜哥出品 <一本开源的NLP入门书籍>

FastText for Node.js

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

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.

cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information

A wrapper around tensor2tensor to flexibly train, interact, and generate data for neural chatbots.

Minimalist NMT for educational purposes

End-to-end ASR/LM implementation with PyTorch

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Neural Code Translator provides instructions, datasets, and a deep learning infrastructure (based on seq2seq) that aims at learning code transformations

Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com

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

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

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

Exploring the simple sentence similarity measurements using word embeddings

document embedding and machine learning script for beginners

Extremely simple and fast word2vec implementation with Negative Sampling + Sub-sampling

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

BERT for Multitask Learning

Pre-trained word vectors of 30+ languages

Topic Modelling for Humans

Python interface to Google word2vec

Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity

Graph Embedding via Frequent Subgraphs

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.

Implementing Facebook's FastText with java

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

A PyTorch Implementation of "Attention Is All You Need"

nlp lecture-notes and source code

doc2vec , word2vec, implemented by golang. word embedding representation

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

text generation based on transformer

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

Using pre trained word embeddings (Fasttext, Word2Vec)

A data set and model for german sentiment classification.

Code lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.