suhasmaddali / Steel-Defect-Detection-ChallengeLinks
🔩 It would be really good if we are to predict the chances of defect occurring in steel so that necessary precautions could be taken during manufacture and during the construction of different sites with steel. In this machine learning project, we are going to be working with images of steel and their annotated examples and understand the defec…
☆12Updated 2 years ago
Alternatives and similar repositories for Steel-Defect-Detection-Challenge
Users that are interested in Steel-Defect-Detection-Challenge are comparing it to the libraries listed below
Sorting:
- Python implementation of machine learning and Ai algorithms from scratch☆10Updated last year
- Python Darts deep forecasting models☆34Updated 3 years ago
- a catch-all repo☆11Updated 2 years ago
- A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…☆12Updated last year
- Exploring the classical regression capabilities of LLMs.☆18Updated last year
- Python implementation of the control charts used for process monitoring and anomaly detection☆13Updated 2 years ago
- ☆25Updated last month
- Automatic machine learning for tabular data. ⚡🔥⚡☆70Updated 4 years ago
- ☆15Updated 4 years ago
- Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…☆24Updated last year
- The sources of the time-series forecasting real-world case with FEDOT.☆18Updated 2 years ago
- Feature Selection using Simulated Annealing☆11Updated 3 years ago
- A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.☆44Updated 6 months ago
- A neural network hyper parameter tuner☆30Updated 2 years ago
- An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.☆20Updated 3 years ago
- Implementation of language model papers along with several examples [NOT ALL WRITTEN FROM SCRATCH].☆12Updated last year
- Build an algorithm that can predict multiple future states of Limit Order Books using high-frequency, multi-variate, short time-frame dat…☆16Updated 2 years ago
- Demo on how to use Prefect with Docker☆27Updated 3 years ago
- Reference code base for ML Engineering in Action, Manning Publications Author: Ben Wilson☆20Updated 2 years ago
- Interpretable, intuitive outlier detector intended for categorical and numeric data.☆12Updated last year
- An interpretable kNN based on aggregating the predictions of multiple 2d spaces.☆13Updated last year
- Time Series Forecasting for the M5 Competition☆40Updated 4 years ago
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆50Updated 3 years ago
- An introduction to conformal prediction☆27Updated 2 years ago
- Effective Approaches for Time Series Anomaly Detection☆11Updated 5 years ago
- Synthetic Data Generation for mixed-type, multivariate time series.☆120Updated last week
- MLflow is Open source platform for the machine learning lifecycle so here you can learn MLflow End to End Example with Prediction.☆13Updated 3 years ago
- ☆12Updated 5 years ago
- Collection of tests performed during the study of the new Kolmogorov-Arnold Neural Networks (KAN)☆41Updated 11 months ago
- This repository contains the implementation of evaluation metrics for recommendation systems. We have compared similarity, candidate gene…☆27Updated 11 months ago