(ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles

(ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles

Serve, optimize and scale PyTorch models in production

Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose

This code uses the pyTorch Conv2D modules to make the PIV algorithms work faster on GPU

Implementing Machine Learning algorithms from scratch to gain in-depth understanding about the foundations on which the algorithms are built.

This comprehensive, hands-on course provides a thorough exploration into the world of algorithmic trading, aimed at students, professionals, and enthusiasts with a basic understanding of Python pro…

Orientation Analysis of Solar Panel

Scalable and Accurate Subsequence Transform

A scikit-learn compatible Python package for GPU-accelerated computation of the signature kernel using CuPy.

Code for my Master's Thesis

Seq2Tens: An efficient representation of sequences by low-rank tensor projections

A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.

The platform for building AI from enterprise data

Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.

We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

Lightweight, useful implementation of conformal prediction on real data.

A comprehensive survey on the time series domains

A playbook for systematically maximizing the performance of deep learning models.

Source code for ClimateLearn

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

Curated list of project-based tutorials

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

A Python Package to Access Tehran Stock Exchange Historical and Real-Time Data

Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.