royg27

royg27's Stars

• MorganBDT/L-WISE

  Boosting image category learning in humans using artificial neural networks

  3

• baaivision/DIVA

  Diffusion Feedback Helps CLIP See Better

  Language:Python24012

• zeyofu/Commonsense-T2I

  Code for Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense? [COLM 2024]

  Language:Python151

• RotsteinNoam/Paint-by-Inpaint

  Paint by Inpaint: Learning to Add Image Objects by Removing Them First

  Language:Python93

• royg27/CLIPAG

  CLIPAG: Towards Generator-Free Text-to-Image Generation

  Language:Jupyter Notebook6

• amazon-science/QA-ViT

  Language:Python607

• royg27/PAG-ROB

  [ICML 2023 - Oral] Do Perceptually Aligned Gradients Imply Robustness? -- Official Code Repository

  Language:Python51

• imrahulr/adversarial_robustness_pytorch

  Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples" & "Fixing Data Augmentation to Improve Adversarial Robustness" in PyTorch

  Language:Python9412

• dsdanielpark/Bard-API

  The unofficial python package that returns response of Google Bard through cookie value.

  Language:Python5.3k526

• royg27/royg27.github.io

  Roy Ganz - Research Home Page

  Language:HTML1

• RotsteinNoam/FuseCap

  FuseCap: Large Language Model for Visual Data Fusion in Enriched Caption Generation

  Language:Python51

• mlfoundations/open_flamingo

  An open-source framework for training large multimodal models.

  Language:Python3.8k290

• mlfoundations/open_clip

  An open source implementation of CLIP.

  Language:Python10.8k1k

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook48.5k5.7k

• bahjat-kawar/enhancing-diffusion-robust

  Language:Python4

• royg27/BIGRoC

  Language:Jupyter Notebook52

• dair-ai/ML-Papers-Explained

  Explanation to key concepts in ML

  7.4k582

• CompVis/stable-diffusion

  A latent text-to-image diffusion model

  Language:Jupyter Notebook69.1k10.3k

• amazon-science/semimtr-text-recognition

  Multimodal Semi-Supervised Learning for Text Recognition (SemiMTR)

  Language:Python8112

• lucidrains/CoCa-pytorch

  Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch

  Language:Python1.1k89

• lucidrains/flamingo-pytorch

  Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch

  Language:Python1.2k59

• openai/improved-diffusion

  Release for Improved Denoising Diffusion Probabilistic Models

  Language:Python3.4k496

• anushkayadav/Denoising_cifar10

  Contains implementation of denoising algorithms.

  Language:Jupyter Notebook91

• omihub777/ViT-CIFAR

  PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 with small number of parameters (= 6.3M, originally ViT-B has 86M).

  Language:Python17526

• tsachiblau/Threat-Model-Agnostic-Adversarial-Defense-using-Diffusion-Models

  Language:Python11

• ndb796/Pytorch-Adversarial-Training-CIFAR

  This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.

  Language:Python16140

• Developer-Y/cs-video-courses

  List of Computer Science courses with video lectures.

  67.7k9.2k

• bahjat-kawar/ddrm

  [NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository

  Language:Python60354

• autonomousvision/stylegan-xl

  [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets

  Language:Python970114

• BoltzmannEntropy/interviews.ai

  It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

  4.5k298