HondamunigePrasannaSilva

HondamunigePrasannaSilva's Stars

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python13.1k985401.1k

• OpenDriveLab/End-to-end-Autonomous-Driving

  [IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving

  2.3k571225

• manfreddiaz/awesome-autonomous-vehicles

  Curated List of Self-Driving Cars and Autonomous Vehicles Resources

  2.2k1655579

• michaelgutmann/ml-pen-and-paper-exercises

  Pen and paper exercises in machine learning

  Language:TeX1.9k313141

• NVlabs/ODISE

  Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]

  Language:Python857404249

• hkproj/pytorch-stable-diffusion

  Stable Diffusion implemented from scratch in PyTorch

  Language:Jupyter Notebook5771017133

• MendelXu/zsseg.baseline

  Open-vocabulary Semantic Segmentation

  Language:Python16652716

• xmed-lab/CLIPN

  ICCV 2023: CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No

  Language:Python12521112

• RitaRamo/smallcap

  SmallCap: Lightweight Image Captioning Prompted with Retrieval Augmentation

  Language:Jupyter Notebook9331819

• aneeshan95/Sketch_LVM

  Project page for the paper 'CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not'

  Language:JavaScript59106

• acmi-lab/CHILS

  Code and results accompanying our paper titled CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets

  Language:Python54523

• miccunifi/KDPL

  [ECCV 2024] - Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation

  Language:Python441011

• lucazanella/AnomalyCLIP

  Language:Python40277

• joeyz0z/MeaCap

  (CVPR2024) MeaCap: Memory-Augmented Zero-shot Image Captioning

  Language:Python37580

• TheMody/No-learning-rates-needed-Introducing-SALSA-Stable-Armijo-Line-Search-Adaptation

  SaLSa Optimizer implementation (No learning rates needed)

  Language:Python2813

• LorenzoBettini/tdd-buildautomation-ci-book-examples

  16437

• ciodar/UniversalAttribution

  [ECCVW/TWYN 2024 - Best paper] Are CLIP features all you need for Universal Synthetic Image Origin Attribution?

  7411

• ciodar/cultural-heritage-diffaug

  [ICCVW/eHeritage 2023] "Diffusion Based Augmentation for Captioning and Retrieval in Cultural Heritage"

  Language:Python6230

• GiovanniMaccioni/quantumVisionTransformer

  Language:Python30