barby1138's Stars
facebookresearch/Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
lexfridman/mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
timzhang642/3D-Machine-Learning
A resource repository for 3D machine learning
Rayhane-mamah/Tacotron-2
DeepMind's Tacotron-2 Tensorflow implementation
fatchord/WaveRNN
WaveRNN Vocoder + TTS
xiph/LPCNet
Efficient neural speech synthesis
auspicious3000/autovc
AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
unrealcv/synthetic-computer-vision
A list of synthetic dataset and tools for computer vision
NVIDIA/nv-wavenet
Reference implementation of real-time autoregressive wavenet inference
zalandoresearch/pytorch-vq-vae
PyTorch implementation of VQ-VAE by Aäron van den Oord et al.
junyanz/VON
[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.
liusongxiang/StarGAN-Voice-Conversion
This is a pytorch implementation of the paper: StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks
jjery2243542/adaptive_voice_conversion
nicola-decao/s-vae-pytorch
Pytorch implementation of Hyperspherical Variational Auto-Encoders
debidatta/syndata-generation
Code used to generate synthetic scenes and bounding box annotations for object detection. This was used to generate data used in the Cut, Paste and Learn paper
thunguyenphuoc/RenderNet
Code for RenderNet: A deep convolutional network for differentiable rendering from 3D shapes
swasun/VQ-VAE-Speech
PyTorch implementation of VQ-VAE + WaveNet by [Chorowski et al., 2019] and VQ-VAE on speech signals by [van den Oord et al., 2017]
mkotha/WaveRNN
A WaveRNN implementation
hrbigelow/ae-wavenet
Wavenet Autoencoder for Unsupervised speech representation learning (after Chorowski, Jan 2019)
alokprasad/LPCTron
Tacotron2 + LPCNET for complete End-to-End TTS System
dhgrs/chainer-VQ-VAE
A Chainer implementation of VQ-VAE.