Stars
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NVIDIA's Deep Imagination Team's PyTorch Library
The official PyTorch implementation of the paper "Human Motion Diffusion Model"
Top2Vec learns jointly embedded topic, document and word vectors.
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
Deep and online learning with spiking neural networks in Python
MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model
Official implementation for "Generating Diverse and Natural 3D Human Motions from Texts (CVPR2022)."
This is a pytorch implementation of the paper: StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks
ICLR 2023, Spikformer: When Spiking Neural Network Meets Transformer
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019
This repository contains code to replicate results from the ICASSP 2020 paper "StarGAN for Emotional Speech Conversion: Validated by Data Augmentation of End-to-End Emotion Recognition".
A python implementation of a spiking neural network with STDP and Reinforcement learning methods
Daft-Exprt: Robust Prosody Transfer Across Speakers for Expressive Speech Synthesis
In this workflow we demonstrate using SDG + TAO for a freespace segmentation application