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CLRNet
Pytorch implementation of our paper "CLRNet: Cross Layer Refinement Network for Lane Detection" (CVPR2022 Acceptance).
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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.
But for some other cases, the only available implementation is the github repo published by the authors where the code simply verifies that the results in the paper are reproducible, for example this https://github.com/Turoad/CLRNet. The main aspect of this case is that there's no inference pipeline, but rather train/test functions with the benchmark dataset as input.
I built an experiment tracking tool (Guild AI) that focuses on code/model reuse and so this question is dear to my heart :) Best of luck!