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0.3.0 release

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@vmarois vmarois released this 13 Nov 01:30
· 144 commits to master since this release
f0be173

This release adresses several bugs and brings new features:

What's new?

  • The entire pipeline of the Grid Workers has been reviewed and should now be working properly on Ubuntu CPUs/GPUs & MacOS. Ref #81

  • The documentation build is now fixed, as all modules & inherited classes are mocked. Thus, no need to handle the dependencies anymore (through setup.py or requirements.txt). Ref #55
    The documentation also now handles linking to other docs, such as PyTorch's and NumPy. Ref #56

  • Introducing miprometheus.helpers: classes that can do a specific task (like splitting in 2 a range of indices) prior to using a worker. Ref #36

  • SamplerFactory: hooks on torch.utils.data.samplers to instantiate them from the workers. Ref #32

  • Integration of LGTM for code analysis and fixing some of the raised warnings. Ref #45, #57, #43, #44

  • Added LeNet5 and cleaned the Image Classification problems. Ref #53

  • Plenty of fixes in the workers: #54, #72, #81

  • Some refactoring in VideoToClassProblem and SequentialMNIST: Ref #71

  • The trainers can load a pretrained model. Ref #42

Misc:

#28, #33, #38, #70, #88