Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Kolmogorov Arnold Networks

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

🎵 Algorithms written in different programming languages - https://zoranpandovski.github.io/al-go-rithms/

NVIDIA curated collection of educational resources related to general purpose GPU programming.

A list of 99 machine learning projects for anyone interested to learn from coding and building projects

This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equity markets: Pairs Trading.

High frequency trading (HFT) framework built for futures using machine learning and deep learning techniques

Reinforcement Learning Algorithms Tutorial (Python) from scratch (Mar 2021)

Parametrically designing my PhD thesis cover using adaptive sampling, neural networks, and quantum physics

USPAS course on optimization and machine learning

Laplacian convolutional representation for traffic time series imputation. (IEEE TKDE'24)

Code for the paper "Learning to Do or Learning While Doing: Reinforcement Learning and Bayesian Optimisation for Online Continuous Tuning"

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