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Max Planck Institute for Biological Cybernetics
- Tübingen
- https://surabhisnath.github.io
- @surabhisnath
Highlights
- Pro
Stars
Repository for Meta Chameleon, a mixed-modal early-fusion foundation model from FAIR.
Code for the paper: "Efficient Lifelong Model Evaluation in an Era of Rapid Progress" [NeurIPS'24]
Code for CVPR23 paper: Learning to Generate Language-supervised and Open-vocabulary Scene Graph using Pre-trained Visual-Semantic Space
Code for the ICLR'24 paper: "Visual Data-Type Understanding does not emerge from Scaling Vision-Language Models"
The implementation of "Prismer: A Vision-Language Model with Multi-Task Experts".
[ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"
Future Scenario Generators, based on GPT-4, GPT-3.5 text-davinci-003 and GPT-3 Davinci, fine-tuned with human-made scenarios.
Code for the paper: "SuS-X: Training-Free Name-Only Transfer of Vision-Language Models" [ICCV'23]
NMA Computational Neuroscience course
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Magenta: Music and Art Generation with Machine Intelligence
Code for "It’s LeVAsa not LevioSA! Latent Encodings for Valence-Arousal Structure Alignment" [CoDS-CoMAD'21]
Content for the workshop in Cambridge 2018
A machine learning approach to classify songs by mood.
Bahmni EMR Frontend code for Clinicians and staff members, written in Angular.JS and React
An Open Source Machine Learning Framework for Everyone
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.