Nice effort, though it'll be better to have a requirements.txt, or even better, a proper Anaconda envionment.yaml file or other virtual env to specify dependenc

Nice effort, though it'll be better to have a requirements.txt, or even better, a proper Anaconda envionment.yaml file or other virtual env to specify dependencies and their versions. It's great lots of people are making their code available, but this is really something that always seems to come up for most public python ML repos. It just makes adoption and usage so much harder and frustrating for users. Separately, how does "converting weights" from eg: Pytorch to Keras work? Are there public converters, is some custom code involved, etc?