Code Monkey home page Code Monkey logo
Janis Meyer photo

jame76 Goto Github PK

followers: 47.0 following: 0.0 repos: 15.0 gists: 0.0

Name: Janis Meyer

Type: User

Company: self employed

Bio: Hi, I am Janis, I am particularly interested in the question of how machine learning can be used to extract information from complex structured documents.

Location: Hamburg, Germany

Hi there šŸ‘‹. I am Janis and I live in Hamburg, Germany.

šŸ‘Øā€šŸ¦± I am a freelance consultant and machine learning engineer. I can look back on almost 20 years of professional experience. This includes some time in the academic environment as well as consulting and development work in data management for financial institutions and capital management companies.

šŸ”­ Iā€™m currently working on Deepdoctection among some other stuff.

šŸ¤” I am mainly interested in Document AI and Intelligent Document Processing topics.

šŸ“« You can reach me here. Please understand, that I can only respond to commercial requests. If you need advice on how to use deepdoctection on your particular use-case, let me kindly point you to the issue or discussion section.

šŸ’¬ Ask me about: Document AI, Information Extraction, ML Ops and of course LLMs šŸ˜„.

šŸŒ± Iā€™m currently learning everything I need to get things done.

Janis Meyer's Projects

dev-ops icon dev-ops

Template for setting up a simple dev-ops pipeline for your Python code including code-analysis, testing and deployment.

doctr icon doctr

docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

donut icon donut

Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022

layout-parser icon layout-parser

A Unified Toolkit for Deep Learning Based Document Image Analysis

llama-hub icon llama-hub

A library of data loaders for LLMs made by the community -- to be used with GPT Index and/or LangChain

sec-edgar icon sec-edgar

Download all companies periodic reports, filings and forms from EDGAR database.

show-attend-and-tell icon show-attend-and-tell

[Python 3] Tensorflow implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention"

tensorpack icon tensorpack

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

unilm icon unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    šŸ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. šŸ“ŠšŸ“ˆšŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ā¤ļø Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.