Ilyasse Makroz's Projects
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
Scripts/Notebooks used for my articles published on Medium
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
super-monorepo for machine learning and algorithmic trading
Looking further: a crop type classification model for fields
AgriFieldNet Model for Crop Detection from Satellite Imagery
Weighted Tree-based Crop Classification Models for Imbalanced Datasets
Trading strategy for the Freqtrade crypto bot
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
📄 ⚙️ ETL processes for medical and scientific papers
Code for PaperRobot: Incremental Draft Generation of Scientific Ideas
Code, Notebooks and Examples from Practical Business Python
Power Law Distribution Fitting in python (and fortran and cython)
Unofficial TradingView technical analysis API wrapper.
Learning to trade under the reinforcement learning framework
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]
Machine learning models to automatically summarise scientific papers
🔎 Hunt down social media accounts by username across social networks
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Technical Analysis Library using Pandas and Numpy
Official November 2019 Documentation for Tinder's API (wrapper included)