vishaal27
PhD Student at The University of Tuebingen and The University of Cambridge #GoReppers
University of Tübingen | University of CambridgeTübingen, Germany
Pinned Repositories
frequency_determines_performance
Code for the paper: "No Zero-Shot Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance" [NeurIPS'24]
sort-and-search
Code for the paper: "Efficient Lifelong Model Evaluation in an Era of Rapid Progress" [NeurIPS'24]
fomo_in_flux
Code and benchmark for the paper: "A Practitioner's Guide to Continual Multimodal Pretraining" [NeurIPS'24]
DisCont
PyTorch Implementation for the paper "DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors" (ECCVW'20).
DTI-CF
An application of Neural Collaborative Filtering & Deep Matrix Factorization on Drug Target Interactions
LeVAsa
Code for "It’s LeVAsa not LevioSA! Latent Encodings for Valence-Arousal Structure Alignment" [CoDS-CoMAD'21]
Multimodal-Video-Emotion-Recognition-Pytorch
A Pytorch implementation of emotion recognition from videos
Sentiment-Analysis-using-Multi-Task-Learning-Keras
A multi-task learning model written in Keras to analyse sentiments in IMDB movie reviews and Insults in social commentary datasets
SmartAlarm
An IED Project
SuS-X
Code for the paper: "SuS-X: Training-Free Name-Only Transfer of Vision-Language Models" [ICCV'23]
vishaal27's Repositories
vishaal27/SuS-X
Code for the paper: "SuS-X: Training-Free Name-Only Transfer of Vision-Language Models" [ICCV'23]
vishaal27/Multimodal-Video-Emotion-Recognition-Pytorch
A Pytorch implementation of emotion recognition from videos
vishaal27/LeVAsa
Code for "It’s LeVAsa not LevioSA! Latent Encodings for Valence-Arousal Structure Alignment" [CoDS-CoMAD'21]
vishaal27/DTI-CF
An application of Neural Collaborative Filtering & Deep Matrix Factorization on Drug Target Interactions
vishaal27/Sentiment-Analysis-using-Multi-Task-Learning-Keras
A multi-task learning model written in Keras to analyse sentiments in IMDB movie reviews and Insults in social commentary datasets
vishaal27/imagenet-utils
vishaal27/Model_Based_Reinforcement_Learning
A comparative analysis of different vision representations for model based RL algorithms and evolutionary optimisations.
vishaal27/Awesome-Multimodal-Large-Language-Models
Latest Papers and Datasets on Multimodal Large Language Models
vishaal27/DataScience_M2019
Repository for Data Science (CSE558) Fall'19 course at IIIT Delhi
vishaal27/estool
Evolution Strategies Tool
vishaal27/evals
Evals is a framework for evaluating OpenAI models and an open-source registry of benchmarks.
vishaal27/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
vishaal27/ForestFirePrediction
vishaal27/fromage
🧀 Code and models for the paper "Grounding Language Models to Images for Multimodal Generation".
vishaal27/gill
🐟 Code and models for the paper "Generating Images with Multimodal Language Models".
vishaal27/graduation
$ git remote <graduation> yearbook
vishaal27/GymApp
DBMS Project
vishaal27/HPSv2
Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis
vishaal27/IFN-Python
A Python implementation of the Iterative Feature Normalization algorithm
vishaal27/ImageBind
ImageBind One Embedding Space to Bind Them All
vishaal27/imagenet-testbed
ImageNet Testbed, associated with the paper "Measuring Robustness to Natural Distribution Shifts in Image Classification."
vishaal27/MCA-W2020
Repository for the Multimedia Computing and Applications (CSE563) Spring'20 course at IIIT Delhi
vishaal27/patching
Patching open-vocabulary models by interpolating weights
vishaal27/pytorch-mnist-VAE
vishaal27/QuizApp
vishaal27/RL-M2019
Repository for the Reinforcement Learning (CSE564) Fall'19 course at IIIT Delhi
vishaal27/Tutorials
Tutorials for creating figures, tables, or other content for AAS Journals.
vishaal27/vishaal27.github.io
vishaal27/WhatsNext
vishaal27/WorkoutEffectiveness
A machine learning model to classify workouts performed in videos and predict an effectiveness metric for evaluating the performed workout