Rupak Roy's repositories
Mutual-Information-Feature-Selection
Feature selection using mutual information mi scores from information theory
stable_diffusion_text_image
stable diffusion text to image cuda and jax tpu model repo.
Chained-and-MultiLabel-Algorithms
New Guide to Advanced Predictive analytics via Multi-label, Multi-output & Chained
ANN-Template
Plug and Play ANN Templates
Condensed-Nearest-Neighbor-Rule-Undersampling-CNN-TomekLinks
An alternative to oversampling techniques like SMOTE
Multi-Layer-Perception-Time-Series
Apply State of the Art Deep Learning MLP models for predicting the sequence of numbers/time series data.
Multi-variate-LSTM-Time-Series-Forecasting.
Apply state-of-the-art deep learning time series forecasting using multiple inputs together to give a powerful prediction.
MultiLabel-OutputCodeClassifier
Error-Correcting Output Code-based strategies
Multivariate-Facebook-Prophet-Time-Series-Forecasting-Template
Template: Multivariate Facebook Prophet Time Series Forecasting
sklearn-time-series-forecasting-and-classification
using sktime use sklearn models like linear regression to xgboost for time series forecasting and time series classification.
Auto-Clustering
Hacked version for auto clustering with optimized
Auto-TS-Ensemble
A powerful combination of TS and Deep Learning for Time Series Forecasting.
Bias-Variance-Decomposition-
Implementing quadratic risk function to sklearn classifiers, regressors and keras/tensorflow
Edited-Nearest-Neighbors-ENN
Another way to under-sample imbalanced classes
lama-cleaner
Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.
LSTM-AutoEncoder
Understand and perform Composite & Standalone LSTM Encoders to recreate sequential data.
M5-methods
Data, Benchmarks, and methods submitted to the M5 forecasting competition
MultiLabel-MultiClass-Power-Transformation-Approach
2. Problem Transformation: This method can be further carried out in three different ways as: 2.1.Binary Relevance 2.2.Classifier Chains 2.3.Label Powerset
Pip-install-autoroc
Automation to Optimal Threshold of Auc ROC curve
Reinforcement-Learning-In-31-Steps
using Upper Confidence Bound(UCB) & Thompson Sampling for Social Media Marketing Campaign Click Through Rate Optimization using Python
Uni-Variate-LSTM-Time-Series-Forecasting
Apply State Of The Art Deep Learning Time Series Forecasting with the help of this template.
machine_learning_templates
Full Guide to Machine Learning templates that can be used for daily use
stable-diffusion
A latent text-to-image diffusion model
stable-diffusion-webui
Stable Diffusion web UI AutoMatic 1111