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I'm Ali Hassani. I'm a Computer Science PhD Student at Georgia Tech.

Working on useful new attention primitives with subquadratic cost.

Ali Hassani's Projects

autoaugment icon autoaugment

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

byol icon byol

Bootstrap Your Own Latent (BYOL) pytorch implementation using DistributedDataParallel.

cmatrix icon cmatrix

Terminal based "The Matrix" like implementation

cocoapi icon cocoapi

COCO API - Dataset @ http://cocodataset.org/

cutlass icon cutlass

CUDA Templates for Linear Algebra Subroutines

dinov2 icon dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

discern icon discern

DISCERN: Diversity-based Selection of Centroids for k-Estimation and Rapid Non-stochastic Clustering

fancysmi icon fancysmi

Stylish version of `nvidia-smi`. pip install fancy-smi .

kandinsky-2 icon kandinsky-2

Kandinsky 2 — multilingual text2image latent diffusion model

mmcv icon mmcv

OpenMMLab Computer Vision Foundation

moco icon moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

natten-torch icon natten-torch

Neighborhood Attention Extension. Bringing attention to a neighborhood near you!

nmfintextmining icon nmfintextmining

Using nonnegative matrix factorization initialized with sparse SVD for term-document matrix dimension reduction.

oneformer icon oneformer

[Preprint] OneFormer: One Transformer to Rule Universal Image Segmentation.

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