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@magenta/music

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Make music with machine learning, in the browser.

tensorflow/magenta-js

10 folders, 33 files

	Filename	Content Type	Size
	../
	coconet/	–	42.5 kB
	core/	–	508 kB
	ddsp/	–	33.2 kB
	gansynth/	–	192 kB
	music_rnn/	–	31.4 kB
	music_vae/	–	92.6 kB
	piano_genie/	–	41.3 kB
	protobuf/	–	393 kB
	spice/	–	20.1 kB
	transcription/	–	56.1 kB
	coconet.d.ts	text/typescript	33 B
	coconet.js	text/javascript	68 B
	coconet.js.map	application/json	128 B
	core.d.ts	text/typescript	30 B
	core.js	text/javascript	62 B
	core.js.map	application/json	120 B
	ddsp.d.ts	text/typescript	30 B
	ddsp.js	text/javascript	62 B
	ddsp.js.map	application/json	120 B
	gansynth.d.ts	text/typescript	34 B
	gansynth.js	text/javascript	70 B
	gansynth.js.map	application/json	130 B
	index.d.ts	text/typescript	333 B
	index.js	text/javascript	366 B
	index.js.map	application/json	381 B
	lib.d.ts	text/typescript	11 B
	lib.js	text/javascript	78 B
	lib.js.map	application/json	169 B
	music_rnn.d.ts	text/typescript	35 B
	music_rnn.js	text/javascript	72 B
	music_rnn.js.map	application/json	132 B
	music_vae.d.ts	text/typescript	35 B
	music_vae.js	text/javascript	72 B
	music_vae.js.map	application/json	132 B
	piano_genie.d.ts	text/typescript	37 B
	piano_genie.js	text/javascript	76 B
	piano_genie.js.map	application/json	136 B
	protobuf.d.ts	text/typescript	34 B
	protobuf.js	text/javascript	70 B
	protobuf.js.map	application/json	130 B
	transcription.d.ts	text/typescript	39 B
	transcription.js	text/javascript	80 B
	transcription.js.map	application/json	140 B