6150 Open source projects that are alternatives of or similar to Char Rnn Pytorch

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

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

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

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

Detecting emotions using MFCC features of human speech using Deep Learning

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

Automatically generate headlines to short articles

Code for Tensorflow Machine Learning Cookbook

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

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

Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018

TensorFlow Tutorial for Time Series Prediction

Sentiment Analysis with LSTMs in Tensorflow

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

TF2.0 / TensorFlow 2.0 / TensorFlow2.0 官方文档中文版

Natural Language Processing with TensorFlow, published by Packt

Deep learning codes and projects using Python

Multiple implementations for abstractive text summurization , using google colab

Keras tutorial for beginners (using TF backend)

Stock Price Prediction using Machine Learning Techniques

深度学习入门教程, 优秀文章, Deep Learning Tutorial

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

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

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

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

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

1st place solution

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

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

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

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

Chinese Poetry Generation

코딩셰프의 3분 딥러닝, 케라스맛

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

Hierarchical Attention Networks for Chinese Sentiment Classification

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

All about Neural Networks!

PyTorch tutorial for learners

All my experiments with AI and ML

Everware is about re-useable science, it allows people to jump right in to your research code.

Repo for the ML_Insights python package

Best practices of using Spark for practicing data scientists in the context of a data scientist’s standard workflow.

The biggest dump of scripts ever!

repo for code published on pythondata.com

Implementation of "Action-Conditional Video Prediction using Deep Networks in Atari Games"

Materials for workshops on text mining, machine learning, and data visualization

Materials for deep NLP course

Statistical Interactive Visualization with pandas+Jupyter integration on top of Echarts.

Data science and Big Data with Python

Create interactive screencasts inside Jupyter Notebook that anybody can play back

Monitoring Foot Traffic over IP Webcams with ML

a collection of my notes on deep learning

TensorFlow Lab for Self-Driving Car ND

Lending Club Loan data analysis