Popular GitHub Repositories for Static Types

A neural network that transforms a design mock-up into a static website.

Detect file content types with deep learning

TypeChat is a library that makes it easy to build natural language interfaces using types.

Venom is a high-performance system developed with JavaScript to create a bot for WhatsApp, support for creating any interaction, such as customer service, media sending, sentence recognition based on artificial intelligence and all types of design architecture for WhatsApp.

Chat with (and visualize) your codebase

A fast type checker and IDE for Python

C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage

Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024

☔ 敏捷开发最强大易用的接口工具，机器学习零代码测试与 AI 问答、生成代码与静态检查、生成文档与光标悬浮注释，腾讯、华为、SHEIN、传音、工行等使用 ☔ The most advanced tool for HTTP API. Machine learning no-code testing and AI assistant, generating codes and static analysis, generating comments and floating hints. Used by Tencent, Huawei, SHEIN, TRANSSION, ICBC, etc.

Learn Japanese grammar with TypeScript

Fast State-of-the-Art Static Embeddings

A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.

A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract.

Embed AI chat dialog into your doc site to answer user questions based on your own content.

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.

Evaluate three types of task shifting with popular continual learning algorithms.

PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).

Directly Connecting Python to LLMs via Strongly-Typed Functions, Dataclasses, Interfaces & Generic Types

Powerful and highly functional startpage integrated with chatGPT and hidden under the super minimalistic and animated design (static/hosted/github pages)