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

NLP framework: sentence detector, tokeniser, pos-tagger and dependency parser

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

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

RNN based Time-series Anomaly detector model implemented in Pytorch.

SpaCy 中文模型 | Models for SpaCy that support Chinese

PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)

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

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

Named Entity Recognition using multilayered bidirectional LSTM

An implementation of zoneout regularizer on LSTM-RNN by Tensorflow

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

Automatically generate headlines to short articles

Customizable React Social Media login modal

TensorFlow implementation of Independently Recurrent Neural Networks

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

🤖 A portable, header-only, artificial neural network library written in C99

Urban sound source tagging from an aggregation of four second noisy audio clips via 1D and 2D CNN (Xception)

📕 twtxt is a Self-Hosted, Twitter™-like Decentralised microBlogging platform. No ads, no tracking, your content, your data!

Pyncov-19: Learn and predict the spread of COVID-19

Social reading and reviewing, decentralized with ActivityPub

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

Algorithms to automatically discover stops and moves in GPS trajectories.

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

Machine Reading Comprehension in Tensorflow

A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

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

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

Image Test Time Augmentation with PyTorch!

Decentralized Social Media Overlay

A social networking service scraper in Python

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

This is a Flask app that can classify images of dog and cat. The underlying model is a CNN trained using Keras framework

A Recurrent Neural Network to predict Bitcoin value

Stock Price Prediction using Machine Learning Techniques

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

A pytorch reimplementation of CheXNet

An implementation of RNN-RBM & GBRBM.

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

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.

Connectionist Temporal Classification (CTC) decoder with dictionary and language model for TensorFlow.

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

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

Chinese Question Classifier (Keras Implementation) on BQuLD

🤖 📷 Instagram Bot made with love and nodejs

moDel Agnostic Language for Exploration and eXplanation

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

Implementation of different techniques to find insights from the satellite data using Python.

Service Classification based on Service Description

Visualizing RNNs using the attention mechanism

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

Keras implementation of Representation Learning with Contrastive Predictive Coding

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.

Sequence to Sequence Models with PyTorch

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

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017

TiMBL implements several memory-based learning algorithms.

API, CLI & Web App for analyzing & finding a person's profile across +1000 social media \ websites (Detections are updated regularly by automated systems)

👌 Do not get distracted with social media by blockading them via /etc/hosts