Environments
Python environment for working with AI tools and SDKs. Includes tools like AlphAI, OpenAI/Anthropic/Cohere SDKs, Scikit Learn, pandas, and numpy.
- Python 3.11
- Python 3.8
- Python 3.9
- Python 3.10
- Python 3.11
- Python 3.8 (cuda)
- Python 3.9 (cuda)
- Python 3.10 (cuda)
- Python 3.11 (cuda)
Minimal python environment where you can start from scratch to avoid too many bells and whistles. Tabula Rasa.
- Python 3.11
- Python 3.8
- Python 3.9
- Python 3.10
- Python 3.11
- Python 3.8 (cuda)
- Python 3.9 (cuda)
- Python 3.10 (cuda)
- Python 3.11 (cuda)
Python environment for working with data and running exploratory data anlaysis. Includes tools like Scikit Learn, pandas, and numpy.
- Python 3.11
- Python 3.8
- Python 3.9
- Python 3.10
- Python 3.11
- Python 3.8 (cuda)
- Python 3.9 (cuda)
- Python 3.10 (cuda)
- Python 3.11 (cuda)
Python environment for working with the pycse python package. Contains the pycse repository for experimenting and learning computational skills with python.
- Python 3.11
- Python 3.8
- Python 3.9
- Python 3.10
- Python 3.8 (cuda)
- Python 3.9 (cuda)
- Python 3.10 (cuda)
Python environment for working through Professor John Kitchin's course and research work.
- Kitchin 0.2.5
ocp is the Open Catalyst Project's library of state-of-the-art machine learning algorithms for catalysis.
- OCP 0.2.0
- Python 3.9 (GPU) Kitchin Workshop
- Python 3.9 (CPU) Kitchin Workshop
Python environment for working with Hugging Face tools like transformers and datasets. Contains the Hugging Face Notebooks repostory and is powered by PyTorch or Tensorflow.
- Python 3.11
- Python 3.7
- Python 3.8
- Python 3.9
- Python 3.10
- Python 3.11
- Python 3.8 (cuda)
- Python 3.9 (cuda)
- Python 3.10 (cuda)
- Python 3.11 (cuda)
Python environment for working with Fast.ai tools and PyTorch to train and run inference on ML models. Contains the Fast.ai courses repository and dependencies including PyTorch.
- Python 3.10
- Python 3.8
- Python 3.9
- Python 3.10
- Python 3.8 (cuda)
- Python 3.9 (cuda)
- Python 3.10 (cuda)
Python environment for working with RAPIDS.ai tools like cuDF, cuML, cuGraph, etc. all powered by NVIDIA GPUs.
- Python 3.10 (cuda)
- Python 3.10 (cuda)
Python environment for working with the Langchain package and ecosystem. Tools include OpenAI libraries, google, etc.
- Python 3.11
- Python 3.8
- Python 3.9
- Python 3.10
- Python 3.11
- Python 3.8 (cuda)
- Python 3.9 (cuda)
- Python 3.10 (cuda)
- Python 3.11 (cuda)
Python environment for working with OpenAI models and API such as GPT3, ChatGPT, etc. Contains the OpenAI Cookbook repository and dependencies including PyTorch, OpenAI Python library, and Scikit Learn
- Python 3.10
- Python 3.8
- Python 3.9
- Python 3.10
- Python 3.8 (cuda)
- Python 3.9 (cuda)
- Python 3.10 (cuda)
Python research environment for live editing and writing in .tex files with the jupyter lab latex extension.
- Python 3.11
- Python 3.11
Python environment for working with the Modelbit package and ecosystem. Tools include modelbit and exploratory packages like sklearn, etc.
- Python 3.10
- Python 3.8
- Python 3.9
- Python 3.10
- Python 3.8 (cuda)
- Python 3.9 (cuda)
- Python 3.10 (cuda)
Python environment for working with Pinecone and their powerful vector space via. python client. Contains the Pinecone examples repository and dependencies for vector integrations including PyTorch, Haystack, Transformers, Cohere, and the OpenAI Python library.
- Python 3.10
- Python 3.8
- Python 3.9
- Python 3.10
- Python 3.8 (cuda)
- Python 3.9 (cuda)
- Python 3.10 (cuda)
If you want the additional bells and whistles: Python, R, and Julia. Multiple languages with base packages.
- Python 3.10
- Python 3.8
- Python 3.9
- Python 3.10
The Jupyter Stacks spark image.
- Python 3.10
- Python 3.8
- Python 3.9
- Python 3.10
