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        "description": "# JUtils\nA collection of useful python snippets I often use.\n\n## Getting Started\n### Prerequisites\n- [numpy](https://github.com/numpy/numpy)\n- [plotly](https://github.com/plotly/plotly.py)\n- [matplotlib](https://github.com/matplotlib/matplotlib)\n- [UMAP](https://github.com/lmcinnes/umap)\n- [imageio](https://github.com/imageio/imageio)\n\n### Installing\n```bash\npip install .\n```\n\n### jutils.dimred\nModule for dimesionality reduction functions.\n``` python\nfrom jutils.dimred import tsne_kwargs, reduce_dims\nimport numpy as np\n\nfeatures = np.loadtxt('path/to/features/file')\n\nkwargs = tsne_kwargs(n_dims=2, initial_dims=100)\nreduced_features = reduce_dims(features, **kwargs, technique='tsne')\n```\n\n### jutils.plot\nModule for commonly used plots\n``` python\nfrom jutils.plot import Scatter3d\nimport numpy as np\n\nfeatures = np.loadtxt('path/to/features/file')\nlabels = np.loadtxt('path/to/labels/file')\n\nfig = Scatter3d(features, labels)\nfig.write_html('my_figure.html', auto_open=True)\n```\n\n### jutils.image.gifer\nConverts a series of images into a gif in order of numerical numbers in their name\n``` python\nfrom jutils.image import gifer\n\ngifer(glob_pattern='in/*', out_fpath='ouput.gif')\n```\n\n\n",
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