378 Open source projects that are alternatives of or similar to Protein Sequence Embedding Iclr2019

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

machine learning

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

[ACL‘20] Highway Transformer: A Gated Transformer.

An implementation of zoneout regularizer on LSTM-RNN by Tensorflow

Simple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

Named Entity Recognition with RNN, implemented by Chainer

Dasher text entry in HTML, CSS, JavaScript, and SVG

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.

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

Pre-trained Chinese ELECTRA（中文ELECTRA预训练模型）

A robot learning from demonstration framework that trains a recurrent neural network for autonomous task execution

Multitask Deep Learning for Sentiment Analysis using Character-Level Language Model, Bi-LSTMs for POS Tag, Chunking and Unsupervised Dependency Parsing. Inspired by this great article https://arxiv.org/abs/1611.01587

📃Language Model based sentences scoring library

Empower Sequence Labeling with Task-Aware Language Model

GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training

This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.

RNN benchmarks of pytorch, tensorflow and theano

A Python wrapper for Kaldi

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

R interface to the keras library

Experiments for automated personality detection using Language Models and psycholinguistic features on various famous personality datasets including the Essays dataset (Big-Five)

基于Pytorch和torchtext的自然语言处理深度学习框架。

Character-aware Neural Language Model implemented by PyTorch

XLNet for generating language.

A Keras multi-input multi-output LSTM-based RNN for object trajectory forecasting

Visualizing RNNs using the attention mechanism

Codes and Templates from the SuperDataScience Course

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

Probabilistic Dialogue Act Classification for the Switchboard Corpus using an LSTM model

My Reading Lists of Deep Learning and Natural Language Processing

24-hour Automatic Speech Recognition

The first public PyTorch implementation of Attentive Recurrent Comparators

Language Modeling and Text Classification in Malayalam Language using ULMFiT

Machine Learning on Sequential Data Using a Recurrent Weighted Average

Thai Word Segmentation and Part-of-Speech Tagging with Deep Learning

TensorFlow GAN implementation using Gumbel Softmax

Source code of the model used in Tensorflow Speech Recognition Challenge (https://www.kaggle.com/c/tensorflow-speech-recognition-challenge). The solution ranked in top 5% in private leaderboard.

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).

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

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

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.

State of the Art Neural Networks for Deep Learning

This is a STORN (Stochastical Recurrent Neural Network) implementation for keras!

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

The implementation of DeBERTa

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

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

TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction

Implementation for "Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling"

Keras Implementation and Experiments with Deep Recurrent Neural Networks for Source Separation

A Lite Bert For Self-Supervised Learning Language Representations

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

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

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

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

Transformer language model (GPT-2) with sentencepiece tokenizer