7552 Open source projects that are alternatives of or similar to Nlp Models Tensorflow

PyTorch tutorial for learners

Datasets I have created for scientific summarization, and a trained BertSum model

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

A repository to keep track of all the code that I end up writing for my blog posts.

paribhasha.herokuapp.com/

2018-JDDC大赛第4名的解决方案

Optical character recognition Using Deep Learning

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.

Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow

Image captioning using attention models

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

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

NeMo: a toolkit for conversational AI

CRNN with attention to do OCR,add Chinese recognition

Pointer-generator reinforced seq2seq summarization in PyTorch

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

Image Captioning using InceptionV3 and beam search

[2017知乎看山杯 多标签 文本分类] ye组(第六名) 解题方案

Sequence-to-Sequence Framework in PyTorch

文本情感分析

Building a Simple Chatbot from Scratch in Python (using NLTK)

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

Automatically generate headlines to short articles

Hierarchical Attention Networks for Document Classification in PyTorch

Predict Cryptocurrency Price with Deep Learning

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.

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

Implementation of papers for text classification task on DBpedia

Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.

Convert TensorFlow models to ONNX

Generating Dance steps for given music with deep learning

This is a end to end Personalisation business scenario

Some interesting TensorFlow tutorials for beginners.

Design and build a chatbot using data from the Cornell Movie Dialogues corpus, using Keras

Bangla Machine Translator

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

List of papers, code and experiments using deep learning for time series forecasting

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

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

📚 Text classification library with Keras

Another attempt to use Deep-Learning in the financial markets

Application of machine learning to the Coinbase (GDAX) orderbook

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。

An Android ChatBot powered by IBM Watson Services (Assistant V1, Text-to-Speech, and Speech-to-Text with Speaker Recognition) on IBM Cloud.

Chatbot in 200 lines of code using TensorLayer

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

Natural Language Processing Tutorial for Deep Learning Researchers

Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application.

CNN for intent classification task in a Chatbot

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

Multi-turn dialogue baselines written in PyTorch

An open-source neural machine translation system developed by Natural Language Processing Group, Nanjing University.

A list of NLP(Natural Language Processing) tutorials

Machine learning, in numpy

Traffic Graph Convolutional Recurrent Neural Network

Natural Language Processing with TensorFlow, published by Packt

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.

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

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP