FreelancerFel / Anomalies_DetectionLinks
☆16Updated 4 years ago
Alternatives and similar repositories for Anomalies_Detection
Users that are interested in Anomalies_Detection are comparing it to the libraries listed below
Sorting:
- Educational implementation of pointwise and pairwise learning-to-rank models☆19Updated 5 years ago
- Resources (including recap slides and notebooks) to support the Queensland AI & Queensland AI Hub community fast.ai course.☆34Updated 4 years ago
- Auto Data Science - Python Library.☆138Updated 4 years ago
- Example project for the course "Testing & Monitoring Machine Learning Model Deployments"☆136Updated last year
- Open a shell session in Colab notebooks using Python and JQuery☆22Updated 5 years ago
- Code and files to go along with CS329s machine learning model deployment tutorial.☆610Updated 2 years ago
- Build Low Code Automated Tensorflow explainable models in just 3 lines of code. Library created by: Hasan Rafiq - https://www.linkedin.co…☆181Updated 2 years ago
- ☆92Updated 4 years ago
- Get started DVC project (NLP, random forest)☆184Updated last year
- Metaflow tutorials for ODSC West 2021☆64Updated 3 years ago
- Set up your local environment to do some real Machine Learning Operations software development, just like pro MLOps practitioners.☆240Updated 2 years ago
- ☆136Updated 3 years ago
- Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"☆56Updated 5 years ago
- An updated (2025) guide to Deep Learning for tabular data, comparing a fine-tuned Keras 3 (PyTorch backend) DNN and an Optuna-optimized…☆47Updated last month
- Serving PyTorch models with TorchServe☆102Updated 2 years ago
- Machine Learning begins with Human Learning☆108Updated 4 years ago
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆263Updated 3 years ago
- Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson☆600Updated 2 years ago
- Practical Deep Learning at Scale with MLFlow, published by Packt☆162Updated last month
- Machine Learning / Deep Learning Environment. Everywhere. Anywhere.☆51Updated 5 years ago
- A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.☆230Updated last week
- ☆203Updated last year
- Interview Questions and Answers for Machine Learning Engineer role☆116Updated 4 months ago
- ☆152Updated 5 years ago
- Drift Detection for your PyTorch Models☆322Updated 3 years ago
- Companion repository for the book Building Machine Learning Powered Applications☆688Updated 2 years ago
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆183Updated last year
- Software Architecture for ML engineers☆413Updated 3 years ago
- The purpose of the catalog is to help data science teams to collect all the requirements to consider while building a ML model and produc…☆129Updated 4 years ago
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.☆208Updated 3 years ago