Jayesh Sharma's Projects
The 25 day challenge by Azure Advocates. Learning about serverless technology through a series of interesting use cases.
:musical_note: Algorithms written in different programming languages - https://zoranpandovski.github.io/al-go-rithms/
A repository to host community-submitted projects for the second episode of the Weekend Workshop on Authorization and Authentication in a Web App.
A simple app to keep Basketball scores. Work in progress.
My demo for CNCF's Container Garage talk. Using the TF advanced model example.
ML-Powered Developer Tools, using Kubeflow
A samle python project to test code-server
The 24 hour gap between two question card prompts has not been activated for illustration purposes.
An app that asks daily questions and then provides a best estimate of the mental condition of the user. It also suggests steps that can be taken to counter a possible health problem.
Using streams as a proof of concept. It involves "double tap to disappear" cards which result in voids after removal, signifying no UI rebuild
Practicing CP problems over various online competitions.
CoreDNS is a DNS server that chains plugins
A binary and packages to perform health checks on pods and services running on Kubernetes and to remedy any failures.
Work done during Crio Summer Of Doing. Link to the performance report.
Implementation of DeGAN as described in the paper DeGAN: Mixed noise removal via generative adversarial networks, in Python using Tensorflow.
Scripts, utilities, and examples for deploying CoreDNS.
:octocat::octocat:A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"
Dapr user documentation, used to build docs.dapr.io
🦍 Source code for docs.konghq.com website
A repository to host the code for a simple example using DVC. This project is used in my YouTube video to explain the concept of data versioning in an MLOps stack.
TensorFlow examples
Go DNS example programs
Implementation of FFDNet as described in the paper FFDNet: Towrd a Fast and Flexile Solution for CNN based Image Denoising, in Python using Tensorflow.
Playing with streams on Flutter using Bloc principles