Name: Sarthak Yadav
Type: User
Company: Aalborg University
Bio: PhD Fellow, Pioneer Center for AI & AAU, Denmark | Previously Intern @ Idiap, MSc(R) from University of Glasgow
Twitter: yadav_sar
Location: Aalborg, Denmark
Blog: https://sarthakyadav.github.io/
Sarthak Yadav's Projects
A home for audio ML in JAX. Has common features, learnable frontends, pretrained supervised and self-supervised models.
Data loading utilities in PyTorch for personal Audio ML Research. Includes "packed dataset" paradigm that I use as a middle ground between pure Random File based IO and more complex solutions, such as WebDatasets.
Official implementation for our paper "Audio Mamba: Selective State Spaces for Self-Supervised Audio Representations"
My Awesome WM setup
Official repository for the paper "Audio xLSTMs: Learning Self-supervised audio representations with xLSTMs"
Causal depthwise conv1d in CUDA, with a PyTorch interface
Print-friendly, minimalist CV page
A PyTorch implementation of the Deep SVDD anomaly detection method
Unofficial implementation of FSD50k baselines for Sound Event Recognition
Gemini is a modern LaTex beamerposter theme 🖼
Official code release for the GISE-51 paper
(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"
Masked Autoencoders in Jax
Soft-DTW and Soft-DTW Divergence in Jax
Download DeepMind's Kinetics dataset.
PyTorch implementation of the LEAF audio frontend
bare minimal color schemes for the Material Theme for Sublime Text 3
Efficient framework-agnostic data loading
Examples in the MLX framework
Official implementation of MW-MAE in Jax
Voice Recognition based System Access and Control
Pytorch implementation of convolutional neural network visualization techniques
Repo for docker and singularity containers for ROCm, PyTorch and beyond
RTL8812AU/21AU and RTL8814AU driver with monitor mode and frame injection