1082 Open source projects that are alternatives of or similar to Texar

Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This is part of the CASL project: http://casl-project.ai/

State of the Art Natural Language Processing

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

Abstractive and Extractive Text summarization using Transformers.

Machine Learning notebooks for refreshing concepts.

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This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Chinese version of GPT2 training code, using BERT tokenizer.

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

Multilingual word vectors in 78 languages

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Summarization Papers

Tools for filtering and cleaning parallel and monolingual corpora for machine translation and other natural language processing tasks.

AiSpace: Better practices for deep learning model development and deployment For Tensorflow 2.0

Implementation, trained models and result data for the paper "Pairwise Multi-Class Document Classification for Semantic Relations between Wikipedia Articles"

text generation based on transformer

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Curated list of all NLP Resources

《机器翻译：基础与模型》肖桐 朱靖波 著 - Machine Translation: Foundations and Models

Source code and data for the paper "Towards String-to-Tree Neural Machine Translation"

Thot toolkit for statistical machine translation

Large-scale pretraining for dialogue

Natural Language Processing Tutorial for Deep Learning Researchers

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

Kadot, the unsupervised natural language processing library.

[ACL 2020] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

Open neural machine translation models and web services

Tracking the progress in non-autoregressive generation (translation, transcription, etc.)

Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)

DGMs for NLP. A roadmap.

Implement Question Generator with SOTA pre-trained Language Models (RoBERTa, BERT, GPT, BART, T5, etc.)

Create an AI that chats like you

This repository contains demos I made with the Transformers library by HuggingFace.

Mapping a variable-length sentence to a fixed-length vector using BERT model

Python script to download public Tweets from a given Twitter account into a format suitable for AI text generation

Medical Q&A with Deep Language Models

CLUE baseline pytorch CLUE的pytorch版本基线

Deep Learning Transformer models in MATLAB

A curated list of recent models of text generation and application

ByteNet for character-level language modelling

NLP and Text Generation Experiments in TensorFlow 2.x / 1.x

Evaluation code for various unsupervised automated metrics for Natural Language Generation.

An overview of the AI-as-a-service landscape

Code for the collection and analysis of the MTNT dataset

The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.

A Neural Framework for MT Evaluation

Automatic Generation of Brief Summaries of Time-Series Data

Neural machine translation and sequence learning using TensorFlow

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

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

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

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

Forte is a flexible and powerful NLP builder FOR TExt. This is part of the CASL project: http://casl-project.ai/

bert nlp papers, applications and github resources, including the newst xlnet ， BERT、XLNet 相关论文和 github 项目

Fast and customizable text tokenization library with BPE and SentencePiece support

Data and software for building the ACL Anthology.

R package providing annotators and a normalized data model for natural language processing

Text vectorization tool to outperform TFIDF for classification tasks

⚡️A Lightweight NLP Data Loader for All Deep Learning Frameworks in Python