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        "author": "Ivan Skorokhodov",
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        "description": "## firelab (version 0.0.11)\n### About\nFramework for running DL experiments with pytorch.\nProvides the following useful stuff:\n- parallel hyperparameters optimization\n- allows to `start`/`continue` your experiment with easy commands from yml config file\n- easier to save checkpoints, write logs and visualize training\n- useful utils for HP tuning and working with pytorch (look them up in `utils.py`)\n\n### Installation\n```\npip install firelab\n```\n\n### Future plans\n[ ] Run in daemon.\n[ ] Implement `firelab ls` command\n[ ] Easier profiling (via contexts?)\n[ ] There are some interseting features in https://github.com/vpj/lab.\n[ ] Add commit hash to summary\n[ ] Create new branch/commit for each experiment?\n[ ] More meaningful error messages.\n[ ] Does model release GPU after training is finished (when we do not use HPO)?\n[ ] Proper handling of errors in HPO: should we fail on the first exception? Should we try/catch result.get() in process pool?\n[x] Make trainers run without config.firelab, this will make it possible to run trainer from python\n[ ] Does continue_from_iter work?\n\n### Useful commands:\n- `firelab ls` \u2014 lists all running experiments\n- `firelab start` / `firelab stop` / `firelab pause` / `firelab continue` \u2014 starts/stops/pauses/continues experiments\n\n### Useful classes\n- `BaseTrainer` \u2014 controls the experiment: loads data, runs/stops training, performs logging, etc\n\nCool staff firelab can do:\n- Reduces amount of boilerplate code you write for training/running experiments\n- Keep all experiment arguments and hyperparameters in a expressive config files\n- Visualize your metrics with `tensorboard` through [tensorboardX](https://github.com/lanpa/tensorboard-pytorch)\n- Save checkpoints and logs with ease.\n- Fixes random seeds for you by default (in numpy, pytorch and random). Attention: if you use other libs with other random generators, you should fix random seeds by yourself (we recommend taking it from hyperparams)\n\n### Usage:\n#### Configs\nBesides your own configs, firelab adds its inner staff, which you can use or change as hyperparameter:\n- `name` of the experiment\n- `random_seed`\n\nExperiment name determines where config is.\nExperiment name can't duplicate each other.\n\n### TODO\n- Interactive config builder\n- Clone experiment/config\n- Add examples with several trainers in them\n\n\n",
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