155 Open source projects that are alternatives of or similar to personality-prediction

A curated list of pretrained sentence and word embedding models

🔥 Korean GPT-2, KoGPT2 FineTuning cased. 한국어 가사 데이터 학습 🔥

结合python一起学习自然语言处理 (nlp): 语言模型、HMM、PCFG、Word2vec、完形填空式阅读理解任务、朴素贝叶斯分类器、TFIDF、PCA、SVD

Language Modeling

A Dead Simple BERT API for Python and Java (https://github.com/google-research/bert)

Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019

Transformer with Untied Positional Encoding (TUPE). Code of paper "Rethinking Positional Encoding in Language Pre-training". Improve existing models like BERT.

Official code of our work, Unified Pre-training for Program Understanding and Generation [NAACL 2021].

package lingo provides the data structures and algorithms required for natural language processing

Optimus: the first large-scale pre-trained VAE language model

[EMNLP 2020] Text Classification Using Label Names Only: A Language Model Self-Training Approach

A C++ library providing fast language model queries in compressed space.

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

An opensource speech-to-text software written in tensorflow

[NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/karpathy/char-rnn. Support Chinese and other things.

中文 预训练 ELECTRA 模型: 基于对抗学习 pretrain Chinese Model

中文NER的那些事儿

A Dutch RoBERTa-based language model

a sklearn wrapper for Google's BERT model

Natural language detection package in pure Go

Deep-Learning Model Exploration and Development for NLP

PyTorch Language Model for 1-Billion Word (LM1B / GBW) Dataset

An implementation of model parallel GPT2& GPT3-like models, with the ability to scale up to full GPT3 sizes (and possibly more!), using the mesh-tensorflow library.

Library to scrape and clean web pages to create massive datasets.

TensorFlow GAN implementation using Gumbel Softmax

The Noise Contrastive Estimation for softmax output written in Pytorch

Implementation of XLNet that can load pretrained checkpoints

🏭 PDF text extraction pipeline: self-hosted, local-first, Docker-based

Transformer language model (GPT-2) with sentencepiece tokenizer

Lingvo

Pretrain and finetune ELECTRA with fastai and huggingface. (Results of the paper replicated !)

KB국민은행에서 제공하는 경제/금융 도메인에 특화된 한국어 ALBERT 모델

LSTM and QRNN Language Model Toolkit for PyTorch

A collaborative collection of open-source safe GPT-3 prompts that work well

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling

A toolkit for neural language modeling using Tensorflow including basic models like RNNs and LSTMs as well as more advanced models.

中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

🎧 Automatic Speech Recognition: DeepSpeech & Seq2Seq (TensorFlow)

Character-based word embeddings model based on RNN for handling real world texts

Context Aware Language Models

Implementation of Dynamic memory networks plus in Pytorch

bert as language model, fork from https://github.com/google-research/bert

🔍 Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.

Kaldi-based Korean ASR (한국어 음성인식) open-source project

Load GPT-2 checkpoint and generate texts

Implementation of BERT that could load official pre-trained models for feature extraction and prediction

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

Language Modeling and Text Classification in Malayalam Language using ULMFiT

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

Revisiting Pre-trained Models for Chinese Natural Language Processing (Findings of EMNLP)

Python toolkit for Chinese Language Understanding(CLUE) Evaluation benchmark

An implementation of DeepMind's Relational Recurrent Neural Networks in PyTorch.

BERT-based Multilingual Model for Indian Languages

Character-aware Neural Language Model implemented by PyTorch

24-hour Automatic Speech Recognition

RNN(LSTM, GRU) in Theano with mini-batch training; character-level language models in Theano

中文预训练XLNet模型: Pre-Trained Chinese XLNet_Large

XLNet for generating language.