https://github.com/ashishpatel26/rapidsai_machine_learning_on_gpu
Rapidsai_Machine_learnring_on_GPU
https://github.com/ashishpatel26/rapidsai_machine_learning_on_gpu
cudf cuml dask dask-ml deep-learning machine-learning machine-learning-algorithms nvidia pandas scikit-learn sklearn
Last synced: 8 months ago
JSON representation
Rapidsai_Machine_learnring_on_GPU
- Host: GitHub
- URL: https://github.com/ashishpatel26/rapidsai_machine_learning_on_gpu
- Owner: ashishpatel26
- Created: 2021-06-09T12:20:06.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2021-06-10T07:23:33.000Z (about 5 years ago)
- Last Synced: 2025-05-14T11:42:27.668Z (about 1 year ago)
- Topics: cudf, cuml, dask, dask-ml, deep-learning, machine-learning, machine-learning-algorithms, nvidia, pandas, scikit-learn, sklearn
- Language: Jupyter Notebook
- Homepage: http://rapids.ai/
- Size: 91.8 KB
- Stars: 9
- Watchers: 2
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Rapids.ai Machine learning on GPU [](https://lbesson.mit-license.org/)[](https://github.com/ellerbrock/open-source-badges/)
[](https://github.com/Naereen/badges)
This repository supported by

🤩**About Rapids**🤩
- The RAPIDS suite of open source software libraries aim to enable execution of end-to-end data science and analytics pipelines entirely on GPUs. It relies on NVIDIA® CUDA® primitives for low-level compute optimization, but exposing that GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces.

---
### Outline
---
1. **10 Min to Pandas and Cudf** - [](https://colab.research.google.com/github/ashishpatel26/Rapidsai_Machine_learning_on_GPU/blob/main/10_Min_to_Pandas_and_Cudf_Comparision_on_GPU.ipynb) [**Nbviewer**](https://nbviewer.jupyter.org/github/ashishpatel26/Rapidsai_Machine_learning_on_GPU/blob/main/10_Min_to_Pandas_and_Cudf_Comparision_on_GPU.ipynb)
----
Happy Learning
---