Is there a protocol for working with people who make really bad code?

• kerosene

  2 13 3.6 Python

  Deep Learning framework for fast and clean research with Pytorch (by banctilrobitaille)

I swear this is my first job. I have learned to code in CEGEP (mostly embedded C) and École de Technologie Supérieur (best engineering school in Montreal). I made my master in ML applied to medical imaging (image normalization and segmentation problems). Lot of work to do in this field and everything must be accurate. I had to publish at least one paper to get my master degree (still at ETS). So I decided to invest time into building tested libraries (https://github.com/banctilrobitaille/kerosene and https://github.com/sami-ets/SAMITorch) to ensure my results where good and limit the possibilities of errors. It was a big investment time at first but it largely paid off in the end : succeeded to publish two papers, one in a conference and another in a highly influential Elsevier Journal.

• SAMITorch

  1 7 10.0 Python

  Shape Analysis in Medical Imaging PyTorch Framework

  

I swear this is my first job. I have learned to code in CEGEP (mostly embedded C) and École de Technologie Supérieur (best engineering school in Montreal). I made my master in ML applied to medical imaging (image normalization and segmentation problems). Lot of work to do in this field and everything must be accurate. I had to publish at least one paper to get my master degree (still at ETS). So I decided to invest time into building tested libraries (https://github.com/banctilrobitaille/kerosene and https://github.com/sami-ets/SAMITorch) to ensure my results where good and limit the possibilities of errors. It was a big investment time at first but it largely paid off in the end : succeeded to publish two papers, one in a conference and another in a highly influential Elsevier Journal.

• 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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