datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks
GPUMemNet and GPUUtilNet Dataset
This dataset accompanies the paper
“GPU Memory and Utilization Estimation for Training-Aware Resource
Management: Opportunities and Limitations.”
It contains synthetic deep learning training configurations and their measured
GPU memory consumption and utilization characteristics.
Dataset configurations
The dataset is divided into separate configurations because MLP, CNN, and
Transformer workloads use different feature schemas.… See the full description on the dataset page: https://huggingface.co/datasets/ehyo/GPU-Resources-Estimation-for-Deep-Learning-Training-Tasks.arxiv_small_nougat
Dataset Description
The "arxiv_small_nougat" dataset is a collection of 108 recent papers sourced from arXiv, focusing on topics related to Large Language Models (LLM) and Transformers. These papers have been meticulously processed and parsed using Meta's Nougat model, which is specifically designed to retain the integrity of complex elements such as tables and mathematical equations.
Data Format
The dataset contains the parsed content of the selected papers, with special… See the full description on the dataset page: https://huggingface.co/datasets/deep-learning-analytics/arxiv_small_nougat.IITM_Intro_to_Deep_Learning_Nppe1_exam_dataset
🧠 IITM Intro to Deep Learning & GenAI NPPE1 — Age & Gender Prediction Dataset
This dataset was prepared for the IIT Madras "Intro to Deep Learning & GenAI NPPE1" competition hosted on Kaggle.It contains face images and metadata used for multi-task learning — predicting both age (regression) and gender (classification) from image inputs.
📦 Dataset Structure
Files Included
File
Description
train/
Folder containing training face images.… See the full description on the dataset page: https://huggingface.co/datasets/AyusmanSamasi/IITM_Intro_to_Deep_Learning_Nppe1_exam_dataset.DeepLearningCommonFactor_DLvsIPCADeepLearningAndCommonFactorsDeeplearning-CommonFactors