Linking pages
- GitHub - josephmisiti/awesome-machine-learning: A curated list of awesome Machine Learning frameworks, libraries and software. https://github.com/josephmisiti/awesome-machine-learning 58 comments
- GitHub - veggiemonk/awesome-docker: :whale: A curated list of Docker resources and projects https://github.com/veggiemonk/awesome-docker 5 comments
Linked pages
- TensorFlow http://tensorflow.org/ 440 comments
- PyPI · The Python Package Index https://pypi.org 261 comments
- Project Jupyter | Home http://jupyter.org 240 comments
- PyTorch http://pytorch.org/ 100 comments
- Download Visual Studio Code - Mac, Linux, Windows https://code.visualstudio.com/Download 94 comments
- Developing inside a Container using Visual Studio Code Remote Development https://code.visualstudio.com/docs/remote/containers 48 comments
- Matplotlib — Visualization with Python http://matplotlib.org/ 45 comments
- pandas - Python Data Analysis Library http://pandas.pydata.org/ 34 comments
- Installation Guide — NVIDIA Cloud Native Technologies documentation https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html 31 comments
- GitHub - mamba-org/mamba: The Fast Cross-Platform Package Manager https://github.com/mamba-org/mamba 21 comments
- NumPy https://numpy.org 17 comments
- Install WSL | Microsoft Learn https://learn.microsoft.com/en-us/windows/wsl/install 15 comments
- http://localhost:8888/ 14 comments
- scikit-learn: machine learning in Python — scikit-learn 0.16.1 documentation http://scikit-learn.org/ 13 comments
- Remote Development - Visual Studio Marketplace https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.vscode-remote-extensionpack 11 comments
- Miniconda — conda documentation https://docs.conda.io/en/latest/miniconda.html 10 comments
- NLTK :: Natural Language Toolkit http://www.nltk.org/ 9 comments
- Install Docker Engine https://docs.docker.com/engine/install/ 3 comments
- Mamba — documentation https://mamba.readthedocs.io/en/latest/user_guide/mamba.html 0 comments
- Installation - pip documentation v23.2 https://pip.pypa.io/en/stable/installation/#compatibility 0 comments
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