”rnn-model“ 的搜索结果

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

Trained neural networks and requisite information and data for rnnoise-nu

#计算机科学#RNN-based generative models for speech.

#时序数据库#RNN based Time-series Anomaly detector model implemented in Pytorch.

#大语言模型#ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

#计算机科学#The source of the IJCAI2017 paper "Modeling Trajectory with Recurrent Neural Networks"

Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.

rnn based model for recommendations

Chinese keyword spotting model using LSTM RNN

RNN, LSTM, GRU, Attention Model included.

lstm-rnn, seq2seq model and attention-seq2seq model for vessel trajectory prediction.

PyTorch implementation of char-rnn (character-level language model)

Re-implementation of the m-RNN model using TensorFLow

A (CNN+)RNN(LSTM/BiLSTM)+CRF model for sequence labelling.😏

#自然语言处理#Character-based word embeddings model based on RNN for handling real world texts

Working online speech recognition based on RNN Transducer. ( Trained model release available in release )

#计算机科学#sliced-rnn

Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

The nanoGPT-style implementation of RWKV Language Model - an RNN with GPT-level LLM performance.

cnn+rnn: vgg(vgg16,vgg19)+rnn(LSTM, GRU), resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnnrnn(LSTM, GRU), inception_v4+rnn(LSTM, GRU), inception_resnet_v2+rnn(LSTM, GRU),.....

karpathy's char-rnn (https://github.com/karpathy/char-rnn) implementation by Chainer

Deep RNN, LSTM, GRU, GF-RNN, and GF-LSTMs in Julia

#计算机科学#Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.

CRF-RNN Keras/Tensorflow version

CUDA-Warp RNN-Transducer