Popular GitHub Repositories for Seasonal Adjustment

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

A lightweight adjustment tool for smoothing token probabilities in the Qwen models to encourage balanced multilingual generation.

Deep Unsupervised 3D SfM Face Reconstruction Based on Massive Landmark Bundle Adjustment.

Forecasting for knowable future events using Bayesian informative priors (forecasting with judgmental-adjustment).

Graph based SLAM for multiple cameras using SuperPoint feature detector

Teleconnection-driven vision transformers for improved long-term forecasting

A complete exploratory data analysis (EDA) and forecasting project focused on retail sales data. The project identifies key sales patterns, seasonal trends, and builds predictive models to forecast future demand at the item-store level.

[IEEE Transactions on Power Systems] Transmission Interface Power Flow Adjustment: A Deep Reinforcement Learning Approach based on Multi-task Attribution Map

A rule-based ai system inspired by Left 4 Dead's Ai Director. Manages the intensity of gameplay and allows designers to define their own rules for shooter and survival games in Unity.

Unsupervised ensemble learning methods for time series forecasting. Bootstrap aggregating (bagging) for double-seasonal time series forecasting and its ensembles.

Automatic multi-seasonal ARIMA Learning

AI-enhanced image stitching and edge detection app from Gaza Sky Geeks Computer Vision Bootcamp 2024. Integrated Canny, DoG, and YOLO models for human segmentation, with a Flask-based interface for interactive parameter adjustment. Focused on UI design, performance optimization, and maintaining high code quality.

An open-source visualization tool to help make multi-model seasonal influenza forecasts more actionable for decision-makers

Incremental median-based ensemble learning method for seasonal time series

Dynamic Difficulty Adjustment (DDA) in video games represents a significant leap in game AI ensuring that players of varying skill levels are equally challenged and engaged. In this Unity-based first-person shooter game, DDA is a core feature inspired by industry standards and aimed at enhancing player experience.

Enhance browser productivity with Cerebras AI. Features include AI-powered summarization, rewriting, tone adjustment, and text-to-speech, operating client-side for maximum privacy and speed.

Density-based clustering unsupervised ensemble learning methods for forecasting double seasonal time series

Random Forest, Linear Regression, Artificial Neural Network, Long short-term memory (LSTM), Seasonal AutoRegressive Integrated Moving Average(SARIMA) , Deep ConvLSTM Model, Python

Multivariate Seasonal Timeseries Prediction with PCA

A powerful Chromium extension that leverages the multiple AI APIs to assist with various text operations, image analysis, and PDF processing.