Seq2Seq-Tensorflow
Tensorflow implementation of Sequence to Sequence Learning with Neural Networks
keon / Seq2Seq-Tensorflow
Licence: MIT License
[In-Progress] Tensorflow implementation of Sequence to Sequence Learning with Neural Networks
Stars: ✭ 18
Programming Languages
python
139335 projects - #7 most used programming language
Projects that are alternatives of or similar to Seq2Seq-Tensorflow
KBRD
Towards Knowledge-Based Recommender Dialog System @ EMNLP 2019
Stars: ✭ 123 (+583.33%)
Mutual labels: sequence-to-sequence
Sequence-to-Sequence-Learning-of-Financial-Time-Series-in-Algorithmic-Trading
My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓
Stars: ✭ 64 (+255.56%)
Mutual labels: sequence-to-sequence
Natural-Language-Processing
Contains various architectures and novel paper implementations for Natural Language Processing tasks like Sequence Modelling and Neural Machine Translation.
Stars: ✭ 48 (+166.67%)
Mutual labels: sequence-to-sequence
HE2LaTeX
Converting handwritten equations to LaTeX
Stars: ✭ 84 (+366.67%)
Mutual labels: sequence-to-sequence
berserker
Berserker - BERt chineSE woRd toKenizER
Stars: ✭ 17 (-5.56%)
Mutual labels: sequence-to-sequence
ECG-Heartbeat-Classification-seq2seq-model
Inter- and intra- patient ECG heartbeat classification for arrhythmia detection: a sequence to sequence deep learning approach
Stars: ✭ 125 (+594.44%)
Mutual labels: sequence-to-sequence
parse seq2seq
A tensorflow implementation of neural sequence-to-sequence parser for converting natural language queries to logical form.
Stars: ✭ 26 (+44.44%)
Mutual labels: sequence-to-sequence
MWPToolkit
MWPToolkit is an open-source framework for math word problem(MWP) solvers.
Stars: ✭ 67 (+272.22%)
Mutual labels: sequence-to-sequence
A-Persona-Based-Neural-Conversation-Model
No description or website provided.
Stars: ✭ 22 (+22.22%)
Mutual labels: sequence-to-sequence
RNNSearch
An implementation of attention-based neural machine translation using Pytorch
Stars: ✭ 43 (+138.89%)
Mutual labels: sequence-to-sequence
Transformer-Transducer
PyTorch implementation of "Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss" (ICASSP 2020)
Stars: ✭ 61 (+238.89%)
Mutual labels: sequence-to-sequence
CVAE Dial
CVAE_XGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity"
Stars: ✭ 16 (-11.11%)
Mutual labels: sequence-to-sequence
deep-trans
Transliterating English to Hindi using Recurrent Neural Networks
Stars: ✭ 44 (+144.44%)
Mutual labels: sequence-to-sequence
Word-Level-Eng-Mar-NMT
Translating English sentences to Marathi using Neural Machine Translation
Stars: ✭ 37 (+105.56%)
Mutual labels: sequence-to-sequence
dhs summit 2019 image captioning
Image captioning using attention models
Stars: ✭ 34 (+88.89%)
Mutual labels: sequence-to-sequence
deep-spell-checkr
Keras implementation of character-level sequence-to-sequence learning for spelling correction
Stars: ✭ 65 (+261.11%)
Mutual labels: sequence-to-sequence
Tianchi2020ChineseMedicineQuestionGeneration
2020 阿里云天池大数据竞赛-中医药文献问题生成挑战赛
Stars: ✭ 20 (+11.11%)
Mutual labels: sequence-to-sequence
text-generation-transformer
text generation based on transformer
Stars: ✭ 36 (+100%)
Mutual labels: sequence-to-sequence
classy
classy is a simple-to-use library for building high-performance Machine Learning models in NLP.
Stars: ✭ 61 (+238.89%)
Mutual labels: sequence-to-sequence
protein-transformer
Predicting protein structure through sequence modeling
Stars: ✭ 77 (+327.78%)
Mutual labels: sequence-to-sequence
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].