shwina / rapids-tutorial-gtc-2023Links
☆54Updated 2 years ago
Alternatives and similar repositories for rapids-tutorial-gtc-2023
Users that are interested in rapids-tutorial-gtc-2023 are comparing it to the libraries listed below
Sorting:
- ☆288Updated 2 years ago
- Educational materials on deep learning by Weights & Biases☆640Updated 8 months ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆102Updated 2 years ago
- Demo for CI/CD in a machine learning project☆111Updated 2 years ago
- Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.☆134Updated 2 years ago
- ☆90Updated 2 weeks ago
- MLOps maturity assessment☆61Updated 2 years ago
- Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit☆129Updated last year
- Interpretable ML with Python, 2E - published by Packt☆99Updated 3 weeks ago
- Reference code base for ML Engineering, Manning Publications☆131Updated 4 years ago
- Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in productio…☆95Updated last year
- Repository with code examples of mlflow☆221Updated last month
- Deep Learning Fundamentals -- Code material and exercises☆399Updated last year
- Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)☆145Updated 2 years ago
- Natural Language Processing with Large Language Models☆111Updated last year
- Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024☆248Updated last year
- Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.☆132Updated last year
- Open source Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in PyTorch, OpenCV (compiled for G…☆86Updated last year
- Machine Learning Engineering with Python☆185Updated 3 weeks ago
- A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.☆168Updated last year
- Tutorials for the Hopsworks Platform☆304Updated last month
- Applied Machine Learning Explainability Techniques, published by Packt☆246Updated 3 weeks ago
- Set up your local environment to do some real Machine Learning Operations software development, just like pro MLOps practitioners.☆240Updated 2 years ago
- Practical Deep Learning at Scale with MLFlow, published by Packt☆162Updated 3 weeks ago
- Machine Learning for Imbalanced Data, published by Packt☆277Updated 3 weeks ago
- Tutorials on creating a reproducible and maintainable data science project☆148Updated 3 years ago
- Repository for the book Simplifying Machine Learning with PyCaret.☆66Updated 2 years ago
- An example of a project for doing data work in Python using notebooks but also placing code in Python files and testing them☆102Updated last year
- ☆244Updated 3 weeks ago
- This is an example of a Containerized Flask Application that can deploy to many target environments including: AWS, GCP and Azure.☆417Updated 8 months ago