Multimedia

Multimedia

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VisuAlgo
VisuAlgo
VisuAlgo was conceptualised in 2011 by Dr Steven Halim as a tool to help his students better understand data structures and algorithms, by allowing them to learn the basics on their own and at their own pace. Together with his students from the National University of Singapore, a series of visualisations were developed and consolidated, from simple sorting algorithms to complex graph data structures. Though specifically designed for the use of NUS students taking various data structure and algorithm classes (CS1010, CS1020, CS2010, CS2020, and CS3233), as advocators of online learning, we hope that curious minds around the world will find these visualisations useful as well.
·visualgo.net·
VisuAlgo
VALL-E
VALL-E
VALL-E is a neural codec language model using discrete codes derived from an off-the-shelf neural audio codec model, and regard TTS as a conditional language modeling task rather. VALL-E emerges in-context learning capabilities and can be used to synthesize high-quality personalized speech with only a 3-second enrolled recording of an unseen speaker as a prompt. We also extend VALL-E and train a multi-lingual conditional codec language model. VALL-E X can generate high-quality speech in the target language via just one speech utterance in the source language as a prompt while preserving the unseen speaker’s voice, emotion, and acoustic environment.
·microsoft.com·
VALL-E
Lychee, from digital to reality
Lychee, from digital to reality
Lychee is your go-to place for 3D printing. With our products, find your model, slice it and print it easily.
·mango3d.io·
Lychee, from digital to reality