Hi there✌️I am Vitalii Onisimchuk
You can check my profile for my interests and what technologies I am using
My skills
Name: Vitalii Onisimchuk
Type: User
Bio: DevSecOps and ML
Location: Liverpool, United Kingdom
Materials from the ACL 2018 tutorial on neural semantic parsing
A library of reinforcement learning components and agents
This repo contains annotated research papers that I found really good and useful
A few starter examples of ansible playbooks, to show features and how they work together. See http://galaxy.ansible.com for example roles from the Ansible community for deploying many popular applications.
Python Script to Parse Apple Watch and Apple Health data from the export.xml
Learn applied deep learning from zero to deployment using TensorFlow 1.8+
Tel-Aviv Deep Learning Boot-camp: 12 Applied Deep Learning Labs
https://madewithml.com/courses/applied-ml-in-production/
Python package to plot and analyse samples from probabilistic models
An experimental open-source attempt to make GPT-4 fully autonomous.
Automated machine learning for analytics & production
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
A curated list of awesome resources related to capsule networks
Links to useful online tutorials etc. about deep learning
An awesome list that curates the best Flutter libraries, tools, tutorials, articles and more.
A curated list of resources for learning about Google Cloud Platform certifications and how to prepare for it.
A collection of various awesome lists for hackers, pentesters and security researchers
A curated list of awesome applications, softwares, tools and shiny things for macOS.
Papers & presentation materials from Hugging Face's internal science day
Probably the best curated list of data science books in Python
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
awesome-semantic-segmentation
😎 Curated list of awesome things regarding WebAssembly (wasm) ecosystem.
In few hours, quickly learn how to effectively leverage various AWS services to improve developer productivity and reduce the overall time to market for new product capabilities.
AWS virtual infrastructure simulator for training reinforcement learning based cloud capacity management systems
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
:sparkles: Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com
Packer templates for building minimal Vagrant baseboxes
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.