A straightforward explanation of how DeepSeek R1 works

A Straightforward, Step-by-Step Implementation of a Video Diffusion Model

Training a neural network (AI) to play a very simplified game of 4x4 Tetris using Q-Learning.

Making publishing quality plots from python.

[ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"

Interactive courseware module that addresses one-dimensional collisions using a virtual air track model.

Inspired by Orion and the Artemis I mission, this example simulates a lunar mission trajectory in MATLAB and Simulink.

Rewrite of Coursera Sequences, Time Series and Prediction course in PyTorch

This repository Introduces a joint convolutional and spatial quad-directional LSTM (SQD-LSTM) network for phase unwrapping in 2D images (ICASSP 2021)

Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.

Scientific computing library for optics, computer graphics and visual perception.

Time series forecasting with the Chronos model from Amazon

Chronos: Pretrained Models for Probabilistic Time Series Forecasting

A python package for time series forecasting with scikit-learn estimators.

Random code for medium articles.

notes from time series forecasting by Marco Peixeiro

Classification, Clustering, and Regression with Scikit-Learn and Spyder

Learning to create Machine Learning Algorithms

Unsupervised (Self-Supervised) Clustering of Seismic Signals Using Deep Convolutional Autoencoders