paulgp/applied-methods-phd

Repo for Yale Applied Empirical Methods PHD Course

⭐ 2131 | 🍴 650

facebookresearch/denoiser

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

⭐ 1878 | 🍴 314

facebookresearch/mixup-cifar10

mixup: Beyond Empirical Risk Minimization

⭐ 1198 | 🍴 226

ArrowLuo/CLIP4Clip

An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"

⭐ 1025 | 🍴 136