:muscle: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)

Windows drivers for AICSemi AIC8800-based USB/PCIe WiFi 6 adapters

AI challenger竞赛hourglass用于关键点检测

This is the repo for a python package that does model comparison between different regression models.

R Package With Shiny App to Perform and Visualize Clustering of Count Data via Mixtures of Multivariate Poisson-log Normal Model

The official submission from Speech Squad team for the MTC-AIC 2 competition of 2024 where an ASR model is developed tailored for the Egyptian dialect, utilizing the FastConformer architecture. Our four-stage training pipeline achieved a Mean Levenshtein Distance score of 9.58 on the test set.

A Python package that performs stepwise forward and backward feature selection

Sharif-AI-Challenge2021 Client

Helper R scripts for multiple PERMANOVA tests, AICc script for PERMANOVA, etc.

[R] Statistical analysis of financial data conducted in R

ExhaustiveSearch: A Fast and Scalable Exhaustive Feature Selection Framework

Shiny interface for growth model fit

Analytical tool to help the company decide whether the employee will stay or not

Coursework for Advanced Communication Theory at IMPERIAL, 2021

No description provided.

This is a group project for MTH416A: Regression Analysis at IIT Kanpur

Main page of organization | @AdaptiveIntelligenceCircle

The next evolution of Operating System | @AdaptiveIntelligenceCircle

AIC-Education = Human Alignment & Adaptive Learning Infrastructure | @AdaptiveIntelligenceCircle

The second mission after intergration. | @AdaptiveIntelligenceCircle

Academics. Credibility | @AdaptiveIntelligenceCircle

QBI-Observer Lite+ is an open-source cognitive self-observation module derived from QBI-Core. It detects mental loops, internal questions, and metacognitive patterns. Not AGI. Not autonomous. It’s a transparent, ethical entry point into a new class of AI: Artificial Integrated Cognition (AIC).

Baseball team data (1950~2017, 2 leagues) analysis via R as an assignment of stats lecture at univ.

Simple Linear Regression

Supervised-ML---Multiple-Linear-Regression---Cars-dataset. Model MPG of a car based on other variables. EDA, Correlation Analysis, Model Building, Model Testing, Model Validation Techniques, Collinearity Problem Check, Residual Analysis, Model Deletion Diagnostics (checking Outliers or Influencers) Two Techniques : 1. Cook's Distance & 2. Leverage value, Improving the Model, Model - Re-build, Re-check and Re-improve - 2, Model - Re-build, Re-check and Re-improve - 3, Final Model, Model Predictions.

An R package that performs stepwise forward and backward feature selection

Convenience Functions, Moving Window Statistics, and Graphics

The solution for running AIC through other devices/OS | @AdaptiveIntelligenceCircle

AI for Quantum Computing | @AdaptiveIntelligenceCircle

MLR assignment