0.7

• Box-and-whisker plot
• Fix effect visualization bugs
• Mono output from live csd
• matplotlib.use('Agg') for certain Linux environments

0.6

• Plot aggregated fitness values in a 2D grid (heat map), visualizing the result of a grid search (hyperparameter optimization)
• Fix live mode for non-composite effects
• Visualize composite effect mix values
• Visualize effects and their parameters. Animate knob values while playing the sound.
• Disable species visualization when too much data
• Add a utility for scoring testing data
• Fix some bugs

0.5

• Apply a set of effect in parallel and/or serial. Effect templates were refactored to make this possible.
• Add Csound analyzer which is also able to run in live mode (for performances) as well as offline (for training)
• Various k-rate variable interpolation fixes
• Visualize species in web client
• Add more command line arguments, such as --keep-csd, --verbose, --crossover-rate and --mutation-rate
• Add a set of effects, such as flanger, reverb, various distortion effects and ring modulation
• Add support for duplicate parameter names in web client
• Add more test sounds, especially short ones, which take less time to process
• Tweak some default GA parameters (higher probability of weight mutation and structural mutation)
• New neural mode allows you to evolve targets for each time step with only static input
• Add experimental live mode which is compatible with CsoundAnalyzer and a very limited set of parameters
• Change colors in fitness plotter
• Add a data augmentation command for augmenting short sounds

0.4.1

• Show more info on experiment card
• Update readme
• More audio effects
• More experiment settings
• Add mixed fitness mode
• Tweak plots
• Improve performance
• Add try_effect.py

0.4

• Implement novelty search
• Support for storing and visualizing multiple experiments
• Check sanity of input files
• Calculate and visualize similarity objective regardless of chosen fitness function

0.3.2

• Introduce weights in similarity config. This means you can make for example errors in amplitude count more
• Deal with completely silent output files correctly

0.3.1

• Improve readme
• Clean up
• Minor fixes

0.3

• Multi-Objective fitness evaluation inspired by NSGA-II
• A command for listing all analyzers and features
• Correct effect parameter mapping
• Misc bug fixes and improvements

0.2.1

• Add support for essentia and sonic annotator with libXtract as the main plugin
• Remove the separate make project command. It is now integrated into the neuroevolution program.

0.2

• A web client interactively visualizes results
• Parallel computing and other performance fixes (~4x speedup)
• Some math that was broken in 0.1 now works correctly
• Neural input can easily be tuned
• Adding new effects is easy now