1279 Open source projects that are alternatives of or similar to Predicting Myers Briggs Type Indicator With Recurrent Neural Networks

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

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Image Test Time Augmentation with PyTorch!

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Convolutional Neural Network to classify images as either cat or dog, along with using attention heatmaps for localization. Written in python with keras.

The hands-on NLTK tutorial for NLP in Python

DeFactoNLP: An Automated Fact-checking System that uses Named Entity Recognition, TF-IDF vector comparison and Decomposable Attention models.

The origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage…

A pytorch reimplementation of CheXNet

predicting yelp review rating using recurrent neural networks

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Automatically monitor and log fan counters from social media(Facebook Pages, Twitter, Instagram, YouTube, Google+, OneSignal, Alexa) using APIs to Google Spreadsheet. Very useful for website admins and social media managers.

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

How to encode sentences in a high-dimensional vector space, a.k.a., sentence embedding.

Face masks are crucial in minimizing the propagation of Covid-19, and are highly recommended or even obligatory in many situations. In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.

CLANA is a toolkit for classifier analysis.

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Deep troll uses a deep learning model that identifies whether an audio contains the Gemidao troll (AAAWN OOOWN NHAAA AWWWWN AAAAAH).

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

Unsupervised domain adaptation method for relation extraction

Github repo with tutorials to fine tune transformers for diff NLP tasks

Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)

Chinese Question Classifier (Keras Implementation) on BQuLD

tiny fast portable real-time deep neural network for regression and classification within 50 LOC.

Named Entity Recognition

An api to check social media username availability on a variety of services

moDel Agnostic Language for Exploration and eXplanation

分别使用rnn/cnn/rcnn来实现根据患者描述，进行疾病诊断

Implementing Recurrent Neural Network from Scratch

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

An Interactive Approach to Understanding Deep Learning with Keras

"Our corpus is tweets."

Machine Learning on Sequential Data Using a Recurrent Weighted Average

Predict bitcoin price with deep learning

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Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

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Keras implementation of Representation Learning with Contrastive Predictive Coding

Sentence Similarity Estimator (SenSim)

This is a repository for an image classification inference API using the Gluoncv framework. The inference REST API works on CPU/GPU. It's supported on Windows and Linux Operating systems. Models trained using our Gluoncv Classification training repository can be deployed in this API. Several models can be loaded and used at the same time.

A federated social home

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Simple machine learning library / 簡單易用的機器學習套件

all kinds of text classification models and more with deep learning

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