844 Open source projects that are alternatives of or similar to Rnnsharp

Entirety.ai Intuition to Implementation Meetup Content.

Video lstm auto encoder built with pytorch. https://arxiv.org/pdf/1502.04681.pdf

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

A simple effective ToolKit for short text matching

Test specified presets/CRF values for the x264 or x265 encoder. Compares VMAF/SSIM/PSNR numerically & via graphs.

💬 Recurrent neural network -- generates messages in your style of speech! Trained on imessage data. Sqlite3, TensorFlow, Flask, Twilio SMS, AWS.

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[PAMI 2021] Gating Revisited: Deep Multi-layer RNNs That Can Be Trained

Repository for Attention Algorithm

Experiment diverse Deep learning models for music generation with TensorFlow

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

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

Project 4 for Metis bootcamp. Objective was generation of character-level RNN trained on Donald Trump's statements using Keras. Also generated Markov chains, and quick pyTorch RNN as baseline. Attempted semi-supervised GAN, but was unable to test in time.

Machine learning models for time series analysis

Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.

Keras solution of Chinese NER task using BiLSTM-CRF/BiGRU-CRF/IDCNN-CRF model with Pretrained Language Model: supporting BERT/RoBERTa/ALBERT

The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

NMA deep learning course

机器学习、深度学习、NLP实战项目

⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity

Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement …

Code lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.

Thio - a playground for real-time anomaly detection

dentifying gender and regional accent from speech

Siamese LSTM for evaluating semantic similarity between sentences of the Quora Question Pairs Dataset.

End-2-end speech synthesis with recurrent neural networks

implemented some computer vision problems

Traffic Graph Convolutional Recurrent Neural Network

A neural network that transforms a design mock-up into a static website.

Tensorflow implementation of "Tracking the World State with Recurrent Entity Networks" [https://arxiv.org/abs/1612.03969] by Henaff, Weston, Szlam, Bordes, and LeCun.

ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction

The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We develop a method for analyzing emerging functional modularity in neural networks based on differentiable weight masks and use it to point out important issues in current-day neural networks.

PyTorch implementation of Convolutional Recurrent Neural Network

Deep Character CNN LSTM Encoder with Classification and Similarity Models

Generating lyrics with a recurrent neural network

Benchmark Arabic text diacritization dataset

Jupyter notebooks for Chainer hands-on

Code and Data to accompany "Dilated Convolutions for Modeling Long-Distance Genomic Dependencies", presented at the ICML 2017 Workshop on Computational Biology

A quick walk-through of the innards of LSTMs and a naive implementation of the Mogrifier LSTM paper in PyTorch

Playground for implementing custom layers and other components compatible with keras, with the purpose to learn the framework better and perhaps in future offer some utils for others.

To classify video into various classes using keras library with tensorflow as back-end.

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

Seperate vietnamese using lstm

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a complete Java port of crfpp(crf++)

Running compostionality tests on InferSent embedding on SNLI

Assignmends done for Udacity's Deep Learning MOOC with Vincent Vanhoucke

Reference github repository for the paper "Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data". We propose a procedure to generate realistic DP data synthetically. Our synthesis approach mimics the optical image formation found on DP sensors and can be applied to virtual scenes rendered with standard computer software. Lev…

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Multi Class Text (Feedback) Classification using CNN, GRU Network and pre trained Word2Vec embedding, word embeddings on TensorFlow.

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crf-seg:用于生产环境的中文分词处理工具，可自定义语料、可自定义模型、架构清晰，分词效果好。java编写。

Official source code of "Fast Adaptive RNN Encoder-Decoder for Anomaly Detection in SMD Assembly Machine"

Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.

cRNN-GAN to generate music by training on instrumental music (midi)