[N] 20 hours of new lectures on Deep Learning and Reinforcement Learning with lots of examples

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

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.
www.influxdata.com
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  • RL-Adventure

    Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

  • Lecture 7: Function approximation. (slides, code, video)

  • RL-Adventure-2

    Discontinued Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters [Moved to: https://github.com/higgsfield-ai/higgsfield]

  • Lecture 8: Policy gradient methods. (slides, code, theory, video)

  • 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
  • flux-beamer

    Flux is a modern style beamer presentation.

  • Thanks, I used a slight modification of https://github.com/pvanberg/flux-beamer

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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