🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.

A collection of design patterns/idioms in Python

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

A quick crash course in understanding the essentials of TensorFlow 2 and the integrated Keras API

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

ALL IN ONE Hacking Tool For Hackers

Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.

Code for 'The Art of Statistics'

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