Git Product home page Git Product logo

Petar Todorov's Projects

applied-ml icon applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

chart.js icon chart.js

Simple HTML5 Charts using the <canvas> tag

craft-pytorch icon craft-pytorch

Official implementation of Character Region Awareness for Text Detection (CRAFT)

fastai icon fastai

The fastai deep learning library, plus lessons and and tutorials

feeling-responsive icon feeling-responsive

»Feeling Responsive« is a free flexible theme for Jekyll built on Foundation framework. You can use it for your company site, as a portfolio or as a blog.

incubator-superset icon incubator-superset

Apache Superset (incubating) is a modern, enterprise-ready business intelligence web application

lectures-labs icon lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay

libpostal icon libpostal

A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.

linkedin-skill-assessments-quizzes icon linkedin-skill-assessments-quizzes

Full reference of LinkedIn answers 2021 for skill assessments, LinkedIn test, questions and answers (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test

ml-from-scratch icon ml-from-scratch

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

nlp-datasets icon nlp-datasets

Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)

popsift icon popsift

PopSift is an implementation of the SIFT algorithm in CUDA.

regexgenerator icon regexgenerator

This project contains the source code of a tool for generating regular expressions for text extraction: 1. automatically, 2. based only on examples of the desired behavior, 3. without any external hint about how the target regex should look like

simpletransformers icon simpletransformers

Transformers made simple with training, evaluation, and prediction possible with one line each. Currently supports Sequence Classification (binary, multiclass, multilabel), Token Classification (NER), and Question Answering. Built on top of the Hugging Face Transformer library.

spacy-course icon spacy-course

👩‍🏫 Advanced NLP with spaCy: A free online course

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    🖖 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. 📊📈🎉

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 ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.