Chitra Singh's starred repositories
tailwindcss
A utility-first CSS framework for rapid UI development.
CloudComPy
Python wrapper for CloudCompare
instant-ngp
Instant neural graphics primitives: lightning fast NeRF and more
awesome-3D-gaussian-splatting
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
SegmentAnything3D
[ICCV'23 Workshop] SAM3D: Segment Anything in 3D Scenes
MaMMUT-pytorch
Implementation of MaMMUT, a simple vision-encoder text-decoder architecture for multimodal tasks from Google, in Pytorch
CLIP_Explainability
code for studying OpenAI's CLIP explainability
super-gradients
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
semantic_video_search
A FiftyOne Plugin that allows you to search across any modality in your videos!
awesome-transformers-in-medical-imaging
A collection of resources on applications of Transformers in Medical Imaging.
awesome-medical-vision-language-models
A collection of resources on Medical Vision-Language Models
Awesome-Prompting-on-Vision-Language-Model
This repo lists relevant papers summarized in our survey paper: A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models.
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
k-diffusion
Karras et al. (2022) diffusion models for PyTorch
pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
vit-explain
Explainability for Vision Transformers