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Hi šŸ‘‹, I'm Anthony Chege

A Machine Learning Engineer & Smart Contract Developer, Technical Writer, and Community Advocate

chegeanthony

Tonycodh

  • šŸŒ± Iā€™m constantly learning Machine Learning and Blockchain.

  • šŸ‘Øā€šŸ’» Some of my notable projects are available at here

  • šŸ“ I regularly write articles on: here

  • šŸ’¬ Ask me about Machine Learning, MLOPs, Artificial Intelligence Smart Contracts, NFTs, Python, Solidity, and technical writing

  • šŸ“« How to reach me [email protected]

  • šŸ“„ Know about my experiences here

Connect with me:

tonyc Tonycodh anthony-chege-383893227 tony

Languages and Tools:

aws azure python tensorflow pytorch scikit-learn pandas numpy docker git linux ethereum opencv jupyter matplotlib truffle ganache hyperledger fabric remix

Ā chegeanthony

chegeanthony

Anthony Chege's Projects

deep-reinforcement-stock-trading icon deep-reinforcement-stock-trading

A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.

docker-php icon docker-php

this repo shows you how to use docker-compose with php :)

http-client-server-simple-go-app icon http-client-server-simple-go-app

This project aims to demonstrate the basics of building a simple HTTP client-server application using the Go programming language. The application consists of two main components:

kikuyu_kiswahili-translation icon kikuyu_kiswahili-translation

This repository contains my models that has been trained to translate from kikuyu to kiswahili. It also contains the dataset used for the training purposes and the opnnmt tool used fro ddep learning

learn icon learn

A Data science Learning Website

parallel_cellularautomaton_wildfire icon parallel_cellularautomaton_wildfire

Simulation of wildfire using cellular automaton and used mpi4py to parallel the program. Final Project for High Performance Computing and Parallel Computing Spring 2018@GWU

pytorch-loss icon pytorch-loss

label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

selfmix icon selfmix

Robust Learning Against Textual Label Noise with Self-Mixup Training

variable-in-c icon variable-in-c

here you will find some example of programmes to demonstrate variables in c

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