552 skills found · Page 1 of 19
facebookresearch / SvoiceWe provide a PyTorch implementation of the paper Voice Separation with an Unknown Number of Multiple Speakers In which, we present a new method for separating a mixed audio sequence, in which multiple voices speak simultaneously. The new method employs gated neural networks that are trained to separate the voices at multiple processing steps, while maintaining the speaker in each output channel fixed. A different model is trained for every number of possible speakers, and the model with the largest number of speakers is employed to select the actual number of speakers in a given sample. Our method greatly outperforms the current state of the art, which, as we show, is not competitive for more than two speakers.
LeCAR-Lab / Dial MpcOfficial implementation for the paper "Full-Order Sampling-Based MPC for Torque-Level Locomotion Control via Diffusion-Style Annealing". DIAL-MPC is a novel sampling-based MPC framework for legged robot full-order torque-level control with both precision and agility in a training-free manner.
vandit15 / Class Balanced Loss PytorchPytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
cure-lab / SCINetThe GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2022)
microsoft / RockPaperScissorsLizardSpockRock, Paper, Scissors, Lizard, Spock - Sample Application
YuliaRubanova / Latent OdeCode for "Latent ODEs for Irregularly-Sampled Time Series" paper
matenure / FastGCNThe sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
DQLin / ReSTIR PTSource Code for SIGGRAPH 2022 Paper "Generalized Resampled Importance Sampling: Foundations of ReSTIR"
eliahuhorwitz / DeepSIMOfficial PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)
pokaxpoka / Deep Mahalanobis DetectorCode for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".
lm-sys / Llm DecontaminatorCode for the paper "Rethinking Benchmark and Contamination for Language Models with Rephrased Samples"
UNIC-Lab / RadioDiffThis is the code for the paper "RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Construction", IEEE TCCN.
Sharad24 / Neural Voice Cloning With Few SamplesImplementation of Neural Voice Cloning with Few Samples Research Paper by Baidu
yueliu1999 / HSAN[AAAI 2023] An official source code for paper Hard Sample Aware Network for Contrastive Deep Graph Clustering.
madhavmk / Noise2Noise Audio Denoising Without Clean Training DataSource code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach". Paper accepted at the INTERSPEECH 2021 conference. This paper tackles the problem of the heavy dependence of clean speech data required by deep learning based audio denoising methods by showing that it is possible to train deep speech denoising networks using only noisy speech samples.
mala-lab / InCTRLOfficial implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts'.
asappresearch / Revisit Bert FinetuningFor the code release of our arXiv paper "Revisiting Few-sample BERT Fine-tuning" (https://arxiv.org/abs/2006.05987).
Leezekun / ViTST[NeurIPS 2023] The official repo for the paper: "Time Series as Images: Vision Transformer for Irregularly Sampled Time Series"."
yangcaoai / 3DGS DETOfficial codes for paper: 3DGS-DET: Empower 3D Gaussian Splatting with Boundary Guidance and Box-Focused Sampling for Indoor 3D Object Detection
tianyeli / TofuOfficial code for ICCV 2021 oral paper: Topologically Consistent Multi-View Face Inference Using Volumetric Sampling
