1520 Open source projects that are alternatives of or similar to Fasttext.js

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.

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

R wrapper for fastText

Exploring the simple sentence similarity measurements using word embeddings

A fast, efficient universal vector embedding utility package.

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

Topic Modelling for Humans

machine learning and deep learning tutorials, articles and other resources

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

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

Multiple implementations for abstractive text summurization , using google colab

Fast vectorization, topic modeling, distances and GloVe word embeddings in R.

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

基于Pytorch和torchtext的自然语言处理深度学习框架。

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

all kinds of text classification models and more with deep learning

🔮Deep Learning for text made easy with AllenNLP

All about Neural Networks!

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

dna2vec: Consistent vector representations of variable-length k-mers

A uniform interface to run deep learning models from multiple frameworks

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

Data-centric declarative deep learning framework

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

Beautiful visualizations of how language differs among document types.

DeepFaceLab is the leading software for creating deepfakes.

A Graphical user Interface for deep learning and computer vision over Monk Libraries

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

Implementation of Quickdraw - an online game developed by Google

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.

Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc.

Arabic support for textblob

Few-shot binary text classification with Induction Networks and Word2Vec weights initialization

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

finalfusion embeddings in Rust

Service Classification based on Service Description

A word2vec port for Windows.

Visualize word embeddings of a vocabulary in TensorBoard, including the neighbors

嵌入Word2vec词向量的RNN+ATTENTION中文文本分类

A Modern C++ Data Sciences Toolkit

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

A Python interface for Facebook fastText

All DeepLearning4j projects go here.

Deep Learning over PyTorch

Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm

Tools to Design or Visualize Architecture of Neural Network

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

AI開発プラットフォームKAMONOHASHI

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.

Augmenting word embeddings with their surrounding context using bidirectional RNN

A minimalist deep learning library in Javascript using WebGL + asm.js. Run convolutional neural network in your browser.

Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.

A collection of Natural language processing pre-trained models.

Python Framework for Extractive Text Summarization

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

utils to use word embedding like word2vec vectors in a postgres database

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity