Saumya-Gupta-26

ismyblue

Is my blue your blue?

textgrad

TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients.

dspy

DSPy: The framework for programming—not prompting—foundation models

matplotlib_for_papers

Handout for the tutorial "Creating publication-quality figures with matplotlib"

VideoLLaMA2

VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

Video-LLaMA

[EMNLP 2023 Demo] Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

NExT-GPT

Code and models for NExT-GPT: Any-to-Any Multimodal Large Language Model

GPT4Video

Offical Code for GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation

CS-Research-Methods-Bootcamp

pykan

Kolmogorov Arnold Networks

latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

scenegenie

attention-refocusing

SGCond

Awesome-Video-Diffusion

A curated list of recent diffusion models for video generation, editing, restoration, understanding, etc.

ControlNet

Let us control diffusion models!

custom-diffusion

Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

posteriors

Uncertainty quantification with PyTorch

awesome-diffusion

A curated list of awesome Diffusion notebooks, tools, software, tutorials and resources.

awesome-diffusion-categorized

collection of diffusion model papers categorized by their subareas

Awesome-Active-Learning-for-Medical-Image-Analysis

[MedIA] Accompanying paper list and source code for survey "A comprehensive survey on deep active learning in medical image analysis"

SuPreM

[ICLR 2024 Oral] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)

PathLDM

Official Code for PathLDM: Text conditioned Latent Diffusion Model for Histopathology (WACV 2024)

awesome-semi-supervised-learning

😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

topological-autoencoders

Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.

mean-teacher

A state-of-the-art semi-supervised method for image recognition

segmentation_models.pytorch

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

TotalSegmentator

Tool for robust segmentation of >100 important anatomical structures in CT and MR images

mvu

Multimodal Video Understanding Framework (MVU)