Including a Machine learning project for ML/DL and the Chronologer Model

[elaboy]

This PR includes:

- Machine Learning project for machine learning/deep learning modules. This project could hold all machine learning related classes

- Abstract classes for TorchSharp models and datasets

- An implementation of these abstract classes with Chronologer as an example

[codecov]

Codecov Report

Merging #745 (5af0151) into master (353ae25) will decrease coverage by 3.43%.
The diff coverage is 87.08%.

Additional details and impacted files

@@            Coverage Diff             @@
##           master     #745      +/-   ##
==========================================
- Coverage   74.69%   71.26%   -3.43%     
==========================================
  Files         173      182       +9     
  Lines       29209    30092     +883     
  Branches     2899     2993      +94     
==========================================
- Hits        21817    21446     -371     
- Misses       6903     8157    +1254     
  Partials      489      489              

Files	Coverage Δ
mzLib/MachineLearning/TorchDataset.cs	100.00% <100.00%> (ø)
mzLib/MassSpectrometry/MsDataScan.cs	83.75% <100.00%> (-0.21%)	⬇️
mzLib/Omics/Fragmentation/MatchedFragmentIon.cs	97.61% <100.00%> (ø)
...mics/Fragmentation/TerminusSpecificProductTypes.cs	100.00% <ø> (ø)
...eomics/Fragmentation/DissociationTypeCollection.cs	99.19% <ø> (ø)
mzLib/Proteomics/Protein/Protein.cs	97.01% <ø> (ø)
...Proteomics/ProteolyticDigestion/DigestionParams.cs	88.73% <ø> (ø)
...roteolyticDigestion/PeptideWithSetModifications.cs	96.27% <ø> (ø)
...teomics/ProteolyticDigestion/ProductTypeMethods.cs	0.00% <ø> (ø)
...roteomics/ProteolyticDigestion/ProteinDigestion.cs	95.18% <ø> (ø)
... and 15 more

... and 2 files with indirect coverage changes