-
ETS Montreal
- Montreal, Canada
- https://sites.google.com/view/sukeshadigav/
- in/sukesh-adiga-v-83868723
Highlights
- Pro
Lists (23)
Sort Name ascending (A-Z)
ActiveLearning
BAA
Calibration
Dataset
Diffusion-MIA
fairness
foundationModel
foundationModels
Geodis
Good_libs
GRL
Int
LabelNoise
LVM
MetricLearning
Python
Seg
SemiSup
Spatial_aware
surgicalEndo
Uncertainty
Utils
website
Stars
Curated list of project-based tutorials
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
High-Resolution Image Synthesis with Latent Diffusion Models
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
Creating presentation slides by using Beamer in LaTeX.
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
Official Pytorch implementation of StreamV2V.
Repository for robustness evaluation of DNN for endoscopic image analysis
[CVPR 2025] Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone
[IJCARS] An official repository for "Minimal Data Requirement for Realistic Endoscopic Image Generation with Stable Diffusion"
Large-scale Self-supervised Pre-training for Endoscopy
[MedIA2022 & ICRA2021] Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue
VR-Caps: A Virtual Environment for Active Capsule Endoscopy
Computational Endoscopy Platform (advanced deep learning toolset for analyzing endoscopy videos) [MICCAI'25, MICCAI'22, MICCAI'21, ISBI'21, CVPR'20]
[TMI] EndoGaussian: Real-time Gaussian Splatting for Dynamic Endoscopic Scene Reconstruction
Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery
[MICCAI'23] Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train
Endora: Video Generation Models as Endoscopy Simulators (MICCAI 2024)
GitHub repository for the Kvasir-Capsule dataset.
GitHub repository for the Hyper-Kvasir dataset.
LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion
Library to compute surface distance based performance metrics for segmentation tasks.
A 4-hour coding workshop to understand how LLMs are implemented and used