Panagiotis Nezis

elixir-workspace. Set of tools for working with elixir monorepos

tidewave_phoenix. MCP server with runtime-level tools for Phoenix development

phoenix. Peace of mind from prototype to production

Wan2.1. Wan: Open and Advanced Large-Scale Video Generative Models

mishka_chelekom. Mishka Chelekom is a fully featured components and UI kit library for Phoenix & Phoenix LiveView

sql_fmt. Format and pretty print SQL queries

liveview-svelte-pwa. Local-First LiveView Svelte ToDo App

scholar. Traditional machine learning on top of Nx

courses. This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

exgboost. Elixir bindings to the XGBoost C API (https://xgboost.readthedocs.io/en/stable/c.html) using Native Implemented Functions (NIFs)

flame. Fleeting Lambda Application for Modular Execution: auto scale parts of your existing app with a single function call

elixir. Simple from zero to scale

async-elixir. Learn all about asynchronous elixir

vega_lite. Elixir bindings for Vega-Lite

tucan. An Elixir plotting library on top of VegaLite

fancy_fences. An earmark wrapper that post-processes code fences

elixir-styler. An @elixir-lang code-style enforcer that will just FIFY instead of complaining

imaginAIry. Pythonic AI generation of images and videos

todo-comments.nvim. ✅ Highlight, list and search todo comments in your projects

.tmux. Oh my tmux! My self-contained, pretty & versatile tmux configuration made with 💛🩷💙🖤❤️🤍

live_beats. Elixir

pyprobml. Python code for "Probabilistic Machine learning" book by Kevin Murphy

awesome-solidity. ⟠ A curated list of awesome Solidity resources, libraries, tools and more

ll-stack-solidity. A stack implementation via a single linked list in solidity.

optimal-sandwich. we do a little bit of mathematics to make a little bit of money

smart-contract-sanctuary. 🐦🌴🌴🌴🦕 A home for ethereum smart contracts. 🏠

hands-on-elixir-and-otp-cryptocurrency-trading-bot. Source code to generate the "Hands-on Elixir & OTP: Cryptocurrency trading bot" book

neural-enhance. Super Resolution for images using deep learning.

axon. Nx-powered Neural Networks

Adv_Fin_ML_Exercises. Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

minGPT. A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

erlangelist. Source code of The Erlangelist blog

changelog.com. Changelog makes world-class developer pods. This is our open source platform.

avro_ex. An Avro Library that emphasizes testability and ease of use.

excalidraw. Virtual whiteboard for sketching hand-drawn like diagrams

code. Rust

command-line-tools. Awesome Command Line Utilities

deep-learning-notes. Experiments with Deep Learning

deep-learning-time-series. List of papers, code and experiments using deep learning for time series forecasting

Stock-Prediction-Models. Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

mlfinlab. MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

stockpredictionai. In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

manifold. A model-agnostic visual debugging tool for machine learning

ludwig. Low-code framework for building custom LLMs, neural networks, and other AI models

RLTrader. A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym

Reinforcement-Learning. Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

dotfiles-old. Shell

ohmyzsh. 🙃 A delightful community-driven (with 2,500+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool that makes it easy to keep up with the latest updates from the community.