- Lagos, Nigeria
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21:48
(UTC +01:00) - funkycadet.github.io
- @funkycadet
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Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A fast and lightweight interactive terminal based UI application for tracking cryptocurrencies 🚀 by @miguelmota
Convert HTTPie collection data to Postman Collection Format 2.0
Example of an Restful API with Nest.js and TypeORM
GitOps Configuration and documentation of my Kubernetes homelab powered by Talos and FluxCD.
A docker-powered PaaS that helps you build and manage the lifecycle of applications
This is my personal template collection. Here you'll find templates, and configurations for various tools, and technologies.
Sui, a next-generation smart contract platform with high throughput, low latency, and an asset-oriented programming model powered by the Move programming language
Sample cloud-first application with 10 microservices showcasing Kubernetes, Istio, and gRPC.
A high-performance Python toolkit for Solana, written in Rust
KubeView is a Kubernetes cluster visualization tool that provides a graphical representation of your cluster's resources and their relationships
StatusPing is a Telegram bot designed to streamline team communication by automating daily standup reminders. At customizable times, it prompts team members to share their work updates, upcoming ta…
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.
An extremely fast Python package and project manager, written in Rust.
How to be low-level programmer
🌴 Empowering everyone to build reliable and efficient smart contracts.
My neovim configs (yes I use neovim instead of tmux and it is good 😱)
This is the sample application for the DevOps Capstone Project on Learn to Cloud. It shows your favorite TV Shows or movies, the front-end is in React and the API is written in Python using FastAPI…