NVIDIA / data-science-stackLinks
NVIDIA Data Science stack tools
☆398Updated 2 years ago
Alternatives and similar repositories for data-science-stack
Users that are interested in data-science-stack are comparing it to the libraries listed below
Sorting:
- RAPIDS Community Notebooks☆555Updated 10 months ago
- RAPIDS Sample Notebooks☆580Updated 2 years ago
- A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud☆144Updated last year
- Docker images for fastai☆181Updated 3 years ago
- Examples of Machine Learning code using Comet.ml☆168Updated last week
- The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and TensorFlow code in …☆382Updated last week
- ☆283Updated 9 months ago
- A JupyterLab extension for displaying dashboards of GPU usage.☆667Updated last month
- Nvidia contributed CUDA tutorial for Numba☆264Updated 3 years ago
- Research workflows made easy, locally and in the Cloud.☆500Updated last year
- An open-source AutoML Library based on PyTorch☆308Updated 2 months ago
- 🛠 All-in-one web-based IDE specialized for machine learning and data science.☆81Updated last year
- A Collection of GitHub Actions That Facilitate MLOps☆206Updated 3 years ago
- GPU accelerated cross filtering with cuDF.☆305Updated last week
- Get started DVC project (NLP, random forest)☆189Updated last year
- ☆44Updated 3 years ago
- ML project template facilitating both research and production phases.☆113Updated 6 years ago
- Parallel Hyperparameter Tuning in Python☆417Updated 10 months ago
- Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning☆346Updated 4 years ago
- Template for nbdev projects☆325Updated 3 years ago
- Utilities for Dask and CUDA interactions☆318Updated last week
- Deep Learning from Scratch with PyTorch☆120Updated 5 years ago
- Data Analysis Baseline Library☆133Updated last year
- MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.☆158Updated last month
- Example machine learning pipeline with MLflow and Hydra☆95Updated 2 years ago
- Computer vision container that includes Jupyter notebooks with built-in code hinting, Anaconda, CUDA 11.8, TensorRT inference accelerator…☆157Updated 2 years ago
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.☆210Updated 3 years ago
- Host repository for the "Reproducible Deep Learning" PhD course☆407Updated 3 years ago
- Reference code base for ML Engineering, Manning Publications☆132Updated 4 years ago
- 100 exercises to learn Python Datatable☆270Updated 3 years ago