272 Open source projects that are alternatives of or similar to Indrnn Pytorch

Deep Learning neural network for correcting spelling

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

[Deprecated] Source Code Generation using Sequence Generative Adversarial Networks

Real-time ADLs and Fall Detection implement TensorFlow

Tensorflow implementation of attention mechanism for text classification tasks.

My Attempt(s) In The World Of ML/DL....

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

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Data augmentation for NLP, presented at EMNLP 2019

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THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.

PyTorch tutorial for learners

Deepfakes Video classification via CNN, LSTM, C3D and triplets

An extension on the Hierachical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion, our implementation is in Tensorflow and uses an attention mechanism.

An implementation of RNN-RBM & GBRBM.

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

Code for Tensorflow Machine Learning Cookbook

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

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

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The Official Deep Learning Framework for Route-based Place Recognition

ECG Classification

基于双向RNN，Attention机制的编解码神经机器翻译模型

End-to-end variable length Captcha recognition using CNN+RNN+Attention/CTC (pytorch implementation). 端到端的不定长验证码识别

rnn based model for recommendations

All about Neural Networks!

Handwriting generation by RNN with TensorFlow, based on "Generating Sequences With Recurrent Neural Networks" by Alex Graves

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

Long short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.

Datasets, tools, and benchmarks for representation learning of code.

Sentiment Analysis with LSTMs in Tensorflow

speech-to-text in pytorch

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

Detecting emotions using MFCC features of human speech using Deep Learning

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Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

Chatbot in 200 lines of code using TensorLayer

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

RNN based Time-series Anomaly detector model implemented in Pytorch.

A TensorFlow implementation of the collaborative RNN (Ko et al, 2016).

Stock Price Prediction using Machine Learning Techniques

Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.

论文“Attention-over-Attention Neural Networks for Reading Comprehension”中AoA模型实现

RNN and general weights, gradients, & activations visualization in Keras & TensorFlow

Char-level RNN LSTM text generator📄.

CVPR 2018 - Regularizing RNNs for Caption Generation by Reconstructing The Past with The Present

A Tensorfflow implementation of Attend, Infer, Repeat

language model in Chinese，基于Pytorch官方文档实现