7311 Open source projects that are alternatives of or similar to Chinese Chatbot

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

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

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

Chinese Poetry Generation

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

Natural Language Processing with TensorFlow, published by Packt

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

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

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

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

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)

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

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

PTT 八卦版問答中文語料

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

CNN, LSTM, NBOW, fasttext 中文文本分类

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

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

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Enhanced BiLSTM Inference Model for Natural Language Inference

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

Multi-turn dialogue baselines written in PyTorch

Multiple implementations for abstractive text summurization , using google colab

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

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.

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

Stock Price Prediction using Machine Learning Techniques

State of the Art results in Intent Classification using Sematic Hashing for three datasets: AskUbuntu, Chatbot and WebApplication.

Sentiment Analysis with LSTMs in Tensorflow

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

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly

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

Hierarchical Attention Networks for Chinese Sentiment Classification

All about Neural Networks!

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

PyTorch tutorial for learners

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

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

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

All my experiments with AI and ML

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Keras tutorial for beginners (using TF backend)

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

Chatbot in 200 lines of code using TensorLayer

Sorting numbers with pointer networks

1st place solution

An (old) and unstructured (messy tbh) collection of programming exercises.

A site that displays up to date COVID-19 stats, powered by fastpages.

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

Natural Language Processing Tutorial for Deep Learning Researchers

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

copper price(time series) prediction using bpnn and lstm

A Tensorfflow implementation of Attend, Infer, Repeat

nbconflux converts Jupyter Notebooks to Atlassian Confluence pages

Neural machine translator for English2German translation.

An extension on the Hierachical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion, our implementation is in Tensorflow and uses an attention mechanism.

document classification using LSTM + self attention