Efficient way to tune a network by changing hyperparameters?

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Machine Learning fine-tuning experiment-track pretrained-models Deep Learning

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  • finetuner

    :dart: Task-oriented embedding tuning for BERT, CLIP, etc.

    • Off the top of my head you can either use Grid Search to test hyperparam combinations, Random Search to randomize hyperparams and Neural search uses ML to optimize hyperparameter tuning. You can use finetuners for this as well.

  • wandb

    🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

    • Wandb is the best! https://wandb.ai/

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
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