Vishaal Udandarao (vishaal27)

vishaal27

Geek Repo

Company:University of Tübingen | University of Cambridge

Location:Tübingen, Germany

Home Page:https://vishaal27.github.io/

Twitter:@vishaal_urao

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Vishaal Udandarao's starred repositories

matmulfreellm

Implementation for MatMul-free LM.

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S-LoRA

S-LoRA: Serving Thousands of Concurrent LoRA Adapters

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SWE-bench

[ICLR 2024] SWE-Bench: Can Language Models Resolve Real-world Github Issues?

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images-that-sound

Official repo for Images that sound: a special spectrogram that can be seen as images and played as sound generated by diffusions

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flickr30k_entities

Flickr30K Entities Dataset

gpqa

GPQA: A Graduate-Level Google-Proof Q&A Benchmark

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llm-compression-intelligence

Official github repo for the paper "Compression Represents Intelligence Linearly"

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OCRDatasets

A collection of OCR-related datasets

ReNO

ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization

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Libra

Simple PyTorch implementation of "Libra: Building Decoupled Vision System on Large Language Models" (accepted by ICML 2024)

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exif-as-language

official repo for the paper "EXIF as Language: Learning Cross-Modal Associations Between Images and Camera Metadata"

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videophy

Video Generation, Physical Commonsense, Semantic Adherence, VideoCon-Physics

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svo_probes

The SVO-Probes Dataset for Verb Understanding

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Flickr30k-Image-Viewer

Small Flask-based apps to browse the Flickr30k dataset.

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llm_dataset_inference

Official Repository for Dataset Inference for LLMs

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pointingqa

Code for paper "Point and Ask: Incorporating Pointing into Visual Question Answering"

clip-beyond-tail

Generalization Beyond Data Imbalance: A Controlled Study on CLIP for Transferable Insights

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CLoG

✌ CLoG: Benchmarking Continual Learning of Image Generation Models

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HW-GPT-Bench

HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models

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foildataset

Experiments on Foil Dataset

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BLA

Benchmark for Basic Language Abilities of Multimodal Pretrained Transformers

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Sentiment-Analysis-Platform

The Sentiment Analysis Platform is a Flask-based web application that analyzes text sentiment using NLTK and TextBlob. It provides detailed sentiment scores (positive, negative, neutral, compound) and visualizes results with interactive charts, featuring aspect-based analysis and a user-friendly, responsive interface.

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