Ask HN: Reinforcement learning for single, lower end graphic cards?

• wgpu

  195 10,910 9.9 Rust

  Cross-platform, safe, pure-rust graphics api.

  

Instead of using your low end GPU, you could get a TPU like https://coral.ai/docs/edgetpu/benchmarks/. Or rent a single GPU on the cloud which costs less than a $/hour and can be free in certain cases.

In terms of APIs, you can try WebGPU which is nominally meant for Javascript in the browser, but there are native interfaces for it such as Rust: https://github.com/gfx-rs/wgpu

• darknet

  62 21,449 6.5 C

  YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet ) (by AlexeyAB)

This is mostly in the realm of computer vision, but I would recommend checking out AlexeyAB's fork of Darknet: https://github.com/AlexeyAB/darknet It's got decent CUDA acceleration, I personally run a GTX 960M for training.

• 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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