472 Open source projects that are alternatives of or similar to Rnn From Scratch

The code for the MaD TwinNet. Demo page:

Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

Sentiment Analysis on the First Republic Party debate in 2016 based on Python,NLTK and ML.

Word Embedding + LSTM + FC

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

Text Classification Algorithms: A Survey

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

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

Image Captioning: Implementing the Neural Image Caption Generator with python

Biologically-realistic recurrent convolutional neural networks

TensorFlow Tutorial for Time Series Prediction

Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks (ICLR 2018)

Sequence to sequence learning with MXNET

A Tensorfflow implementation of Attend, Infer, Repeat

Text classifier for Hierarchical Attention Networks for Document Classification

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

copper price(time series) prediction using bpnn and lstm

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

使用PyTorch实现Char RNN生成古诗和周杰伦的歌词

All my experiments with AI and ML

Boilerplate code for quickly getting set up to run language modeling experiments

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

Machine Reading Comprehension in Tensorflow

A PyTorch Tutorials of Sentiment Analysis Classification (RNN, LSTM, Bi-LSTM, LSTM+Attention, CNN)

TensorFlow implementation of multi-layer recurrent neural networks for training and sampling from texts

Handwriting Synthesis with RNNs ✏️

Recurrent Neural Network using randomized SMILES strings to generate molecules

ECG Classification

Official PyTorch implementation of paper "A Hybrid Compact Neural Architecture for Visual Place Recognition" by M. Chancán (RA-L & ICRA 2020) https://doi.org/10.1109/LRA.2020.2967324

rnn based model for recommendations

All about Neural Networks!

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

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

Event-based music generation with RNN using PyTorch

Platform for backtesting and live-trading intraday Stock/ETF/ELW using recurrent neural networks

parsing scene images with understanding geometric perspective in the loop

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

pytorch implementation of Independently Recurrent Neural Networks https://arxiv.org/abs/1803.04831

Implementation of Simple Recurrent Unit in Keras

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

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

Quasi-recurrent Neural Networks for Keras

Deep learning for price movement prediction using high frequency limit order data

Multitask Deep Learning for Sentiment Analysis using Character-Level Language Model, Bi-LSTMs for POS Tag, Chunking and Unsupervised Dependency Parsing. Inspired by this great article https://arxiv.org/abs/1611.01587

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

A Recurrent Neural Network to predict Bitcoin value

name entity recognition with recurrent neural network(RNN) in tensorflow

Deepmind Recurrent Environment Simulators paper implementation in tensorflow

Sentiment Analysis with LSTMs in Tensorflow

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

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

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

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

The source of the IJCAI2017 paper "Modeling Trajectory with Recurrent Neural Networks"

For recognising hand gestures using RNN and LSTM... Implementation in TensorFlow

PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)

Keras Temporal Convolutional Network.

Deepfakes Video classification via CNN, LSTM, C3D and triplets