Lists (7)
Audio Signal Machine Learning
1 repository
Computer Vision
includes Computer Vision raw py scripts9 repositories
Data Science Resources
includes Data Science resources like pdfs, questionnaires and documentations3 repositories
Diffuser Models
Repo of diffuser models like Text to Image stable-diffusion2 repositories
Generative Ai
Repo for Transformers and Generative Ai models and artifacts.Mcompetitions
2 repositories
Predictive Analytics
includes Raw Code for predictive analytics py scripts24 repositories
Starred repositories
rupak-roy / lama-cleaner
Forked from Sanster/IOPaintImage 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.
stable diffusion text to image cuda and jax tpu model repo.
rupak-roy / M5-methods
Forked from Mcompetitions/M5-methodsData, Benchmarks, and methods submitted to the M5 forecasting competition
rupak-roy / M4-methods
Forked from Mcompetitions/M4-methodsData, Benchmarks, and methods submitted to the M4 forecasting competition
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
New Guide to Advanced Predictive analytics via Multi-label, Multi-output & Chained
Error-Correcting Output Code-based strategies
Template: Multivariate Facebook Prophet Time Series Forecasting
using sktime use sklearn models like linear regression to xgboost for time series forecasting and time series classification.
Feature selection using mutual information mi scores from information theory
Implementing quadratic risk function to sklearn classifiers, regressors and keras/tensorflow
Hacked version for auto clustering with optimized
Another way to under-sample imbalanced classes
Automation to Optimal Threshold of Auc ROC curve
A powerful combination of TS and Deep Learning for Time Series Forecasting.
An alternative to oversampling techniques like SMOTE
Understand and perform Composite & Standalone LSTM Encoders to recreate sequential data.
Apply State Of The Art Deep Learning Time Series Forecasting with the help of this template.
Apply state-of-the-art deep learning time series forecasting using multiple inputs together to give a powerful prediction.
Apply State of the Art Deep Learning MLP models for predicting the sequence of numbers/time series data.
using Upper Confidence Bound(UCB) & Thompson Sampling for Social Media Marketing Campaign Click Through Rate Optimization using Python
1
Updated Jul 12, 2022
100 Days of ML Coding
1
Updated Feb 28, 2022