v0.0.9

• Overhauled API and many fixes for usability
• Improved visualization and logging capabilities
• Improved measures (metrics and losses)
• Added new Dataset: MMNIST on the fly (MMF)
• Set up github page with complete documentation
• Added option to specify save location for models, datasets and logs

v0.0.8

• New models that match their official implementations (ConvLSTM/TrajGRU - powered Encoder-Forecaster model from [this repo](https://github.com/Hzzone/Precipitation-Nowcasting; PredRNN++ from this repo)
• New model blocks
• Automatic implementation match tests and better documentation of which models, model blocks, datasets and measures are available

v0.0.7

New Datasets:

• Physics101
• Human 3.6M
• KITTI-Raw
• Caltech Pedestrian

v0.0.6

• Refactored Trainer and Tester into VPSuite: Multiple models and datasets can now be loaded and flexibly used for testing and training.
• Added basic tests for all models, datasets and measures (metrics and losses).
• Updated README to reflect changes.

v0.0.5

Now with correct pathing: install directly from test-PyPi and use from any working directory!

A folder named vp-suite will be created where you are, containing downloaded data and run results.

v0.0.4

The following datasets are now automatically downloaded and prepared if Trainer's load_dataset() is called without providing a path to valid prepared data:

• Moving MNIST
• KTH Actions
• BAIR Robot pushing

v0.0.3

v0.0.3: updated README