Add Catalyst framework
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* [Cornac](https://github.com/PreferredAI/cornac) - A comparative framework for multimodal recommender systems with a focus on models leveraging auxiliary data.
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* [Cornac](https://github.com/PreferredAI/cornac) - A comparative framework for multimodal recommender systems with a focus on models leveraging auxiliary data.
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* [JAX](https://github.com/google/jax) - JAX is Autograd and XLA, brought together for high-performance machine learning research.
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* [JAX](https://github.com/google/jax) - JAX is Autograd and XLA, brought together for high-performance machine learning research.
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* [fast.ai](https://github.com/fastai/fastaihttps://github.com/fastai/fastai) - A library simplifies training fast and accurate neural nets using modern best practices and already supports vision, text, tabular, and collab (collaborative filtering) models "out of the box"
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* [fast.ai](https://github.com/fastai/fastaihttps://github.com/fastai/fastai) - A library simplifies training fast and accurate neural nets using modern best practices and already supports vision, text, tabular, and collab (collaborative filtering) models "out of the box"
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* [Catalyst](https://github.com/catalyst-team/catalyst) - High-level utils for PyTorch DL & RL research. It was developed with a focus on reproducibility, fast experimentation and code/ideas reusing. Being able to research/develop something new, rather than write another regular train loop.
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<a name="python-data-analysis"></a>
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<a name="python-data-analysis"></a>
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#### Data Analysis / Data Visualization
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#### Data Analysis / Data Visualization
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