[P] Annotated deep learning paper implementations

• nn

  26 48,430 7.7 Jupyter Notebook

  🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  

You can create a pull request or start a discussion in GitHub issues. Even voting suggesting papers to implement and voting for them will be helpful. Here's a recent pull request for example

• labml

  23 1,871 9.7 Jupyter Notebook

  🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

  

labmlai/labml is a set of tools (tracking experiments, configurations, a bunch of helpers) we coded to ease our ML work (which later improved and open sourced). So we use it in all our projects because it makes things easier for us.

• InfluxDB

  www.influxdata.com featured

  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.

  

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