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Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
✍️ A carefully curated list of NLP paper summaries
A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.
Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and Topic Models.
Rule-based grammatical error correction through parsing LanguageTool rules in Rust w/ bindings for Python.
1 line for hundreds of NLP models and algorithms
Publication-ready NN-architecture schematics.
A repository of concepts related to neural networks for NLP
🔥 🔥 The Open Source Airtable alternative
Compositional and Parameter-Efficient Representations for Large Knowledge Graphs
Browser-based visual programming language and platform for sound synthesis.
An interactive grammar of machine learning.
Obsei is intended to be an automation tool for text analysis need.
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
First open-source data discovery and observability platform. ODD Platform is based on ODD Specification.
Python analytics made easy - an open source DataOps, MLOps platform for humans
Accelerated NLP pipelines for fast inference on CPU. Built with Transformers and ONNX runtime.
Training PyTorch models with differential privacy
Trainable PyTorch reproduction of AlphaFold 2
Open Source Neural Machine Translation in PyTorch
An Open-Source Package for Neural Relation Extraction (NRE)
OpenScan is an open-source app that enables users to scan hard copies of documents or notes and convert it into a PDF file. No ads. No data collection. We respect your privacy.
Extensible, parallel implementations of t-SNE
Code, Models and Datasets for OpenViDial Dataset
🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.
Build data pipelines, the easy way 🛠️
🔥 Introductory PyTorch tutorials with OReilly Media.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.