suhasmaddali / Steel-Defect-Detection-Challenge
🔩 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 last year
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
- Implementation of language model papers along with several examples [NOT ALL WRITTEN FROM SCRATCH].☆12Updated 4 months ago
- Python Darts deep forecasting models☆32Updated 2 years ago
- Feature Selection using Simulated Annealing☆11Updated 2 years ago
- Tensorflow implementation of time series generation using a variational autoencoder☆20Updated 6 months ago
- A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…☆12Updated 7 months ago
- TPU use in single line in colab using tf2 package.☆11Updated 3 years ago
- Official repository for the book Time Series Forecasting with Foundation Models☆14Updated this week
- Using Temporal Fusion Transformer for Book sales forecasting use case. We use the model implementation available in Pytorch Forecasting l…☆17Updated last year
- Image Search Engine with HuggingFace Sentence Transformer☆12Updated last year
- ☆15Updated 3 years ago
- a catch-all repo☆11Updated last year
- This repository about how to deploy machine learning model end serving with FastAPI and using MLFlow-MINIO☆19Updated last year
- ☆14Updated 4 months ago
- ☆13Updated last year
- A variation on a standard Decision Tree such as that in sklearn, where nodes may be based on an aggregation of multiple splits.☆10Updated 8 months ago
- Computer Vision Papers of the week☆17Updated 2 years ago
- An interpretable kNN based on aggregating the predictions of multiple 2d spaces.☆13Updated 3 months ago
- Official code for ICML 2024 paper "An Unsupervised Approach for Periodic Source Detection in Time Series"☆9Updated 6 months ago
- Dash web app showing when an engine is expected to fail powered by vaex and tf/keras.☆16Updated 3 years ago
- An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.☆16Updated 2 years ago
- Projects completed under LinuxWorld Informatics Ltd. - MLOps Training.☆12Updated 4 years ago
- ☆11Updated 4 years ago
- Predicting the Sales using Time-series forecasting for month-wise data.☆19Updated 3 years ago
- Kubeflow installation on windows 10/11☆16Updated 2 years ago
- Creating a Gradio user interface to predict the sentiment of a tweet☆12Updated 3 years ago
- GANs for Time series analysis (Synthetic data generation, anomaly detection and interpolation), Hypertuning using Optuna, MLFlow and Data…☆70Updated 2 years ago
- Demo on how to use Prefect with Docker☆25Updated 2 years ago
- In order to control processing-induced dataset drift we require two ingredients: raw sensor data and an image processing model. This code…☆34Updated last year
- Demonstrating the efficiency of pmdarima’s auto_arima() function compared to implementing a traditional ARIMA model.☆10Updated 4 years ago
- Public repository containing materials used in LSTM article☆17Updated 2 years ago