shashankvkt

shashankvkt's Stars

• apple/ml-4m

  4M: Massively Multimodal Masked Modeling

  Language:Python1.5k90

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python12.5k1.1k

• PeaBrane/mamba-tiny

  Simple, minimal implementation of the Mamba SSM in one pytorch file. More efficient than using for loops, but probably less efficient than using associative scans

  Language:Python8913

• Qualcomm-AI-research/skip-attention

  Language:Python81

• encord-team/encord-active

  The toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling.

  Language:Python43025

• voxel51/fiftyone

  The open-source tool for building high-quality datasets and computer vision models

  Language:Python8.1k537

• raphael-baena/Local-Mixup

  scripts, notebooks and dataset to run experiments on Local-Mixup

  Language:Jupyter Notebook2

• Stability-AI/stablediffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Python38.4k5k

• czczup/ViT-Adapter

  [ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions

  Language:Python1.2k135

• salesforce/PCL

  PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"

  Language:Python56183

• isaaccorley/detcon-pytorch

  PyTorch implementation of DeepMind's DetCon from "Efficient Visual Pretraining with Contrastive Detection" Henaff et al. (ICCV 2021)

  Language:Python144

• facebookresearch/omnivore

  Omnivore: A Single Model for Many Visual Modalities

  Language:Python55638

• DirtyHarryLYL/Transformer-in-Vision

  Recent Transformer-based CV and related works.

  1.3k141

• Yangzhangcst/Transformer-in-Computer-Vision

  A paper list of some recent Transformer-based CV works.

  1.1k133

• karpathy/nn-zero-to-hero

  Neural Networks: Zero to Hero

  Language:Jupyter Notebook11.5k1.4k

• AakashKumarNain/diffusion_models

  All about the fundamentals and working of Diffusion Models

  Language:HTML1505

• sayakpaul/probing-vits

  Probing the representations of Vision Transformers.

  Language:Jupyter Notebook31117

• cmhungsteve/Awesome-Transformer-Attention

  An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

  4.5k489

• moabarar/qna

  [CVPR2022 - Oral] Official Jax Implementation of Learned Queries for Efficient Local Attention

  Language:Python1138

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python19.6k3k

• ucasligang/awesome-MIM

  Reading list for research topics in Masked Image Modeling

  32730

• cleanlab/cleanlab

  The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

  Language:Python9.4k726

• billpsomas/metrix

  This repo contains the official implementation of ICLR 2022 paper "It Takes Two to Tango: Mixup for Deep Metric Learning".

  Language:Python314

• libffcv/ffcv

  FFCV: Fast Forward Computer Vision (and other ML workloads!)

  Language:Python2.8k178

• pnkraemer/tueplots

  Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other scientific publications.

  Language:Python66325

• synercys/annotated_latex_equations

  Examples of how to create colorful, annotated equations in Latex using Tikz.

  Language:TeX3.7k215

• xbresson/CS5242_2021

  Neural Networks and Deep Learning, NUS CS5242, 2021

  Language:Jupyter Notebook18059

• alldbi/SuperMix

  Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation

  Language:Python8921

• alsdml/StyleMix

  Language:Python312

• jbhuang0604/awesome-tips

  3.4k189