420 Open source projects that are alternatives of or similar to Sudl

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

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

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

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

Recurrent Additive Networks for Tensorflow

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

Haste: a fast, simple, and open RNN library

A Keras library for multi-step time-series forecasting.

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

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

Predict Cryptocurrency Price with Deep Learning

language models toolkits with hierarchical softmax setting

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

TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

Application of machine learning to the Coinbase (GDAX) orderbook

Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification

LSTM, GRU cell implementation from scratch in tensorflow

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

Keras tutorial for beginners (using TF backend)

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.

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.

Deep Learning

Keras and PyTorch implementations of the MaLSTM model for computing Semantic Similarity.

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

The project uses state of the art deep learning on collected data for automatic analysis of emotions.

🔬 Nano size Theano LSTM module

使用深度学习算法实现的中文问答系统

A simple neural network for python autocompletion

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

Friendly machine learning for the web! 🤖

speaker diarization system using an LSTM

Chatbot in 200 lines of code using TensorLayer

Neural Machine Translation with Keras

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Train an LSTM to generate piano or violin/piano music.

DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

Sentiment Analysis with LSTMs in Tensorflow

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

in progress

Tensorflow-based CNN+LSTM trained with CTC-loss for OCR

In PyTorch Learing Neural Networks Likes CNN(Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) 、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM

Neural Turing Machines (NTM) - PyTorch Implementation

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

Named Entity Recognition with RNN, implemented by Chainer

Stock Price Prediction using Machine Learning Techniques

唐诗、宋词生成器，有详细说明

文本情感分析

Implementation of papers for text classification task on DBpedia

custom human activity recognition modules by pose estimation and cascaded inference using sklearn API

百度云魅族深度学习应用大赛

Bangla Machine Translator

subLSTMs for pytorch from Cortical microcircuits as gated-recurrent neural networks

Multitask learning: protein secondary structure prediction, b-values prediction and solvent-accessibility prediction

This repo contains implementation of different architectures for emotion recognition in conversations.

[2017知乎看山杯 多标签 文本分类] ye组(第六名) 解题方案

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).