661 Open source projects that are alternatives of or similar to myDL

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.

Word Embedding + LSTM + FC

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

Haste: a fast, simple, and open RNN library

Keras tutorial for beginners (using TF backend)

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Official repo of the article: Yousef, W. A., Ibrahime, O. M., Madbouly, T. M., & Mahmoud, M. A. (2019), "Learning meters of arabic and english poems with recurrent neural networks: a step forward for language understanding and synthesis", arXiv preprint arXiv:1905.05700

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

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

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

Recurrent Additive Networks for Tensorflow

Part-of-Speech Tagger and custom implementations of LSTM, GRU and Vanilla RNN

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

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

A visualization tool for understanding and debugging RNNs

Music genre classification with LSTM Recurrent Neural Nets in Keras & PyTorch

CNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)

Electric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network

Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

LSTM, GRU cell implementation from scratch in tensorflow

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

Reasoning Over Knowledge Graph Paths for Recommendation

Natural Language Processing with TensorFlow, published by Packt

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

A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.

PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks

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

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

Efficient, transparent deep learning in hundreds of lines of code.

Chinese Poetry Generation

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.

A cute multi-layer LSTM that can perform like a human 🎶

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras

A Bitcoin trade robot based on Tensorflow LSTM model.Just for fun.

Sign Language Gesture Recognition From Video Sequences Using RNN And CNN

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Traffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).

an tutorial implement of voice conversion using pytorch

RMDL: Random Multimodel Deep Learning for Classification

Neural networks library for machine learning on PHP

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Online Hand Writing Recognition using BLSTM

Deep learning driven jazz generation using Keras & Theano!

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

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

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

Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.

코딩셰프의 3분 딥러닝, 케라스맛

Train LSTM to writer novel (HongLouMeng here) in Pytorch.

Hands-on in-person workshop for Deep Learning with TensorFlow

This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.

A gui for tesseractOCR with some preprocessing image options (OpenCV) for improve character recognition

LSTM based human activity recognition using smart phone sensor dataset

RNN-LSTM that learns passwords from a starting list

Enhanced BiLSTM Inference Model for Natural Language Inference

Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot