906 Open source projects that are alternatives of or similar to Awesome Semi Supervised Learning

Unsupervised Data Augmentation (UDA)

Pytorch implementation of "Graph Convolutional Networks for Text Classification"

The notes for Math, Machine Learning, Deep Learning and Research papers.

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

Deep Recurrent Generative Decoder for Abstractive Text Summarization in DyNet

DGMs for NLP. A roadmap.

PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech

Quiz & Assignment of Coursera

RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

💫 Industrial-strength Natural Language Processing (NLP) in Python

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

Open source annotation tool for machine learning practitioners.

Official Repository for 'Practical Natural Language Processing' by O'Reilly Media

A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)

Code for the paper "Jukebox: A Generative Model for Music"

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

Complete solutions for Stanford CS224n, winter, 2019

Various Algorithms for Short Text Mining

Style and Grammar Checker for 25+ Languages

PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.

📡 Organized Resources for Deep Learning in Natural Language Processing

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

Examples and libraries for "Natural Language Processing in Action" book

Curated List of Persian Natural Language Processing and Information Retrieval Tools and Resources

📖 Notes and summaries of some Machine Learning / Computer Vision / NLP papers.

An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more

My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf.

3rd Place Solution for HomeDepot Product Search Results Relevance Competition on Kaggle.

❔ Visual Question Answering in Torch

中文 NLP 任务预处理工具包，准确、高效、零使用门槛

基于自然语言理解与机器学习的聊天机器人，支持多用户并发及自定义多轮对话

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

Open Machine Learning course at MIPT

Open Korean Text Processor - An Open-source Korean Text Processor

💥 Use the latest Stanza (StanfordNLP) research models directly in spaCy

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

An open source Ruby framework for text and voice chatbots. 🤖

Named Entity Recognition using multilayered bidirectional LSTM

🔡 Token level embeddings from BERT model on mxnet and gluonnlp

in progress

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.

Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition

JavaScript Web SDK for Dialogflow

An open platform for artificial intelligence, chat bots, virtual agents, social media automation, and live chat automation.

A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!

A collection of notebooks for Natural Language Processing from NLP Town

Simple XLNet implementation with Pytorch Wrapper

DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

CogComp's Natural Language Processing libraries and Demos:

Portuguese pre-trained BERT models

微信公众号语料库

Automatic summarizer text in Swift

A list of recent papers about Graph Neural Network methods applied in NLP areas.

A curated collection of iOS, ML, AR resources sprinkled with some UI additions

Accurately generate all possible forms of an English word e.g "election" --> "elect", "electoral", "electorate" etc.