629 Open source projects that are alternatives of or similar to DeepLearning-Lab

Multiple implementations for abstractive text summurization , using google colab

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Sequence to Sequence Models with PyTorch

1st place solution

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017

All about Neural Networks!

Porting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.

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

Natural Language Processing with TensorFlow, published by Packt

Chinese Poetry Generation

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

Assessing Source Code Semantic Similarity with Unsupervised Learning

Sequence to sequence learning with MXNET

Embedding模型代码和学习笔记总结

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

Jupyter notebooks for Chainer hands-on

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification，seq2seq，attention，beam search

Multi Class Text (Feedback) Classification using CNN, GRU Network and pre trained Word2Vec embedding, word embeddings on TensorFlow.

NLP Predtrained Embeddings, Models and Datasets Collections(NLP_PEMDC). The collection will keep updating.

wmd4j is a Java library for calculating Word Mover's Distance (WMD)

Neural machine translation implementation using dynet's python bindings

📉Deep learning from scratch using Go. Specializes in natural language processing

A very simple, bare-bones, inefficient, implementation of skip-gram word2vec from scratch with Python

No description or website provided.

Source code for the NAACL 2019 paper "SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression"

Official source code of "Fast Adaptive RNN Encoder-Decoder for Anomaly Detection in SMD Assembly Machine"

Translating English to Yoda English using Sequence-to-Sequence with Tensorflow.

Bu Uyghur yéziqini Pythonning gensim ambiridiki word2vec algorizimida sinap baqqan misal.

The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We develop a method for analyzing emerging functional modularity in neural networks based on differentiable weight masks and use it to point out important issues in current-day neural networks.

Compact high quality word embeddings for Russian language

Rust interface to word2vec.

A practical example on how to combine both a CNN and a RNN to classify images.

cRNN-GAN to generate music by training on instrumental music (midi)

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

In these notebooks the entire research and implementation process carried out for the construction of various machine learning models based on neural networks that are capable of predicting levels of solar radiation is captured given a set of historical data taken by meteorological stations.

Source code for the ICLR 2021 work "Generating Adversarial Computer Programs using Optimized Obfuscations"

doc2vec , word2vec, implemented by golang. word embedding representation

基於DA-RNN之DSTP-RNN論文試做(Ver1.0)

一个基于深度学习的中文聊天机器人，这里有详细的教程与代码，每份代码都有详细的注释，作为学习是美好的选择。A Chinese chatbot based on deep learning.

Deep sentence embedding using Sequence to Sequence learning

Sarcasm Detection for Sentiment Analysis

Chinese Word Segmention Base on the Deep Learning and LSTM Neural Network

Code for "Jhamtani H.*, Gangal V.*, Hovy E. and Nyberg E. Shakespearizing Modern Language Using Copy-Enriched Sequence to Sequence Models" Workshop on Stylistic Variation, EMNLP 2017

kbqa task-oriented qa seq2seq ir neo4j jena seq2seq tf chatbot chat

Gathers Tensorflow deep learning models.

A personal semantic search engine capable of surfacing relevant bookmarks, journal entries, notes, blogs, contacts, and more, built on an efficient document embedding algorithm and Monocle's personal search index.

Arabic Word Embeddings Word2vec

Imageboard bot with recurrent neural network (RNN, GRU)

Reusable CNN and RNN model doing time series binary classification

nlp lecture-notes and source code

A PyTorch Implementation of "Attention Is All You Need"

Multi-time-horizon solar forecasting using recurrent neural network

GPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..

Benchmarks for intrinsic word embeddings evaluation.