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hcynomo's Projects

ai-hub-models icon ai-hub-models

The Qualcomm® AI Hub Models are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.

audio2photoreal icon audio2photoreal

Code and dataset for photorealistic Codec Avatars driven from audio

audiocraft icon audiocraft

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.

clmr icon clmr

Official PyTorch implementation of Contrastive Learning of Musical Representations

deepdance icon deepdance

Code repo of the paper "DeepDance: Music-to-Dance Motion Choreography with Adversarial Learning"

edge icon edge

Official PyTorch Implementation of EDGE (CVPR 2023)

face_classification icon face_classification

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

fairmotion icon fairmotion

Tools to load, process and visualize motion capture data

llama icon llama

Inference code for LLaMA models

mert icon mert

Official implementation of the paper "Acoustic Music Understanding Model with Large-Scale Self-supervised Training".

metagpt icon metagpt

🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo

mint icon mint

Multi-modal Content Creation Model Training Infrastructure including the FACT model (AI Choreographer) implementation.

mlkit icon mlkit

A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS

musical-key-finder icon musical-key-finder

A python project that uses several standard/otherwise very common libraries to determine the key that a song (an .mp3) is in, i.e. F major or C# minor, with annotations and some examples.

musicnn icon musicnn

Pronounced as "musician", musicnn is a set of pre-trained deep convolutional neural networks for music audio tagging.

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