SarthakYadav

audax

A home for audio ML in JAX. Has common features, learnable frontends, pretrained supervised and self-supervised models.

audio-mamba-official

Official implementation for our paper "Audio Mamba: Selective State Spaces for Self-Supervised Audio Representations"

axlstm-official

Official repository for the paper "Audio xLSTMs: Learning Self-supervised audio representations with xLSTMs"

fsd50k-pytorch

Unofficial implementation of FSD50k baselines for Sound Event Recognition

GISE-51-pytorch

Official code release for the GISE-51 paper

jax-mae

Masked Autoencoders in Jax

leaf-pytorch

PyTorch implementation of the LEAF audio frontend

mwmae-jax-official

Official implementation of MW-MAE in Jax

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

rocm-containers

Repo for docker and singularity containers for ROCm, PyTorch and beyond

SarthakYadav/leaf-pytorch

PyTorch implementation of the LEAF audio frontend

SarthakYadav/audax

A home for audio ML in JAX. Has common features, learnable frontends, pretrained supervised and self-supervised models.

SarthakYadav/audio-mamba-official

Official implementation for our paper "Audio Mamba: Selective State Spaces for Self-Supervised Audio Representations"

SarthakYadav/fsd50k-pytorch

Unofficial implementation of FSD50k baselines for Sound Event Recognition

SarthakYadav/axlstm-official

Official repository for the paper "Audio xLSTMs: Learning Self-supervised audio representations with xLSTMs"

SarthakYadav/jax-mae

Masked Autoencoders in Jax

SarthakYadav/GISE-51-pytorch

Official code release for the GISE-51 paper

SarthakYadav/mwmae-jax-official

Official implementation of MW-MAE in Jax

SarthakYadav/pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

SarthakYadav/rocm-containers

Repo for docker and singularity containers for ROCm, PyTorch and beyond

SarthakYadav/audio-data-utils

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.

SarthakYadav/jax-soft-dtw-div

Soft-DTW and Soft-DTW Divergence in Jax

SarthakYadav/mlx-examples

Examples in the MLX framework

SarthakYadav/BENDR

SarthakYadav/causal-conv1d

Causal depthwise conv1d in CUDA, with a PyTorch interface

SarthakYadav/cv

Print-friendly, minimalist CV page

SarthakYadav/Deep-SVDD-PyTorch

A PyTorch implementation of the Deep SVDD anomaly detection method

SarthakYadav/gemini

Gemini is a modern LaTex beamerposter theme 🖼

SarthakYadav/how-do-vits-work

(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"

SarthakYadav/mamba-rocm

SarthakYadav/mlx-data

Efficient framework-agnostic data loading

SarthakYadav/multi_gpu_training

SarthakYadav/rtl8812au

RTL8812AU/21AU and RTL8814AU driver with monitor mode and frame injection

SarthakYadav/SarthakYadav

SarthakYadav/SarthakYadav.github.io

SarthakYadav/self-critical.pytorch

Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning; py3 version in py3 branch (it actually should be compatible to both py2 and py3)

SarthakYadav/svcca-jax

SVCCA and PWCCA in Jax

SarthakYadav/system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

SarthakYadav/terminator-themes

:metal: The biggest collection of Terminator themes.

SarthakYadav/torchsummaryX

torchsummaryX: Improved visualization tool of torchsummary