543 Open source projects that are alternatives of or similar to Neuralcoref

💙 Emoji handling and meta data for spaCy with custom extension attributes

Pipeline component for spaCy (and other spaCy-wrapped parsers such as spacy-stanza and spacy-udpipe) that adds CoNLL-U properties to a Doc and its sentences and tokens. Can also be used as a command-line tool.

German lemmatization with IWNLP as extension for spaCy

Spacy pipeline object for extracting values that correspond to a named entity (e.g., birth dates, account numbers, laboratory results)

✔️Contextual word checker for better suggestions

Python Rule Processing Engine 🏺

A python library that makes AMR parsing, generation and visualization simple.

A fully customisable language detection pipeline for spaCy

✏️ Hunspell extension for spaCy 2.0.

Fuzzy matching and more functionality for spaCy.

🏖TagEditor - Annotation tool for spaCy

Augmenty is an augmentation library based on spaCy for augmenting texts.

💫 Industrial-strength Natural Language Processing (NLP) in Python

Python implementation of TextRank for phrase extraction and summarization of text documents

An automatic ML model optimization tool.

Cookiecutter API for creating Custom Skills for Azure Search using Python and Docker

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

Ergonomic machine learning for everyone.

💥 displaCy-ent.js: An open-source named entity visualiser for the modern web

Just another DL library

Autodifferentiation package in Rust.

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

A repository of state-of-the-art deep learning methods in computer vision

A single / multi layer / recurrent neural network written in Golang.

Scalable Implementation of Deep CFR and Single Deep CFR

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

Aspect Based Sentiment Analysis using End-to-End Memory Networks

All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.

[NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".

LATEX: TikZ package for drawing neural networks. Also available on CTAN at http://www.ctan.org/tex-archive/graphics/pgf/contrib/neuralnetwork

Neural Networks that invent their own encryption 🔑

Awesome machine learning model compression research papers, tools, and learning material.

🎧 Automatic Speech Recognition: DeepSpeech & Seq2Seq (TensorFlow)

💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!

Anomaly detection for temporal data using LSTMs

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.

spaCy pipeline object for negating concepts in text

Brain Modeling Toolkit

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

My personal notes, presentations, and notebooks on everything Deep Learning.

Code repository for Frontiers article 'Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT'

Video Platform for Action Recognition and Object Detection in Pytorch

Avalanche: a End-to-End Library for Continual Learning.

Accelerate Neural Net Training by Progressively Freezing Layers

Frame-Recurrent Video Super-Resolution (official repository)

Introductions to key concepts in quantum machine learning, as well as tutorials and implementations from cutting-edge QML research.

spacy-wordnet creates annotations that easily allow the use of wordnet and wordnet domains by using the nltk wordnet interface

Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".

Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿‍🔬

List of articles related to deep learning applied to music

A unified ensemble framework for Pytorch to improve the performance and robustness of your deep learning model

Machine Learning inference engine for Microcontrollers and Embedded devices

R package providing annotators and a normalized data model for natural language processing

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with Homomorphic Encryption. Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. Therefore, it allows keeping data private while outsourcing computation (see here and here for more about Homomorphic Encryptions and its applications). This project demonstrates the use of Homomorphic Encryption for outsourcing neural-network predictions. The scenario in mind is a provider that would like to provide Prediction as a Service (PaaS) but the data for which predictions are needed may be private. This may be the case in fields such as health or finance. By using CryptoNets, the user of the service can encrypt their data using Homomorphic Encryption and send only the encrypted message to the service provider. Since Homomorphic Encryptions allow the provider to operate on the data while it is encrypted, the provider can make predictions using a pre-trained Neural-Network while the data remains encrypted throughout the process and finaly send the prediction to the user who can decrypt the results. During the process the service provider does not learn anything about the data that was used, the prediction that was made or any intermediate result since everything is encrypted throughout the process. This project uses the Simple Encrypted Arithmetic Library SEAL version 3.2.1 implementation of Homomorphic Encryption developed in Microsoft Research.

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

A High-Quality Real Time Upscaler for Anime Video

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

💙 Emoji handling and meta data for spaCy with custom extension attributes