snap-stanford/ogb
quality grade C, 52 out of 100Benchmark datasets, data loaders, and evaluators for graph machine learning
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Published datasets, dataset tooling and corpora for training and evaluation.
Signals: dataset, datasets, corpus, training-data, open-data
190 results
Benchmark datasets, data loaders, and evaluators for graph machine learning
Open Machine Learning
Machine learning datasets used in tutorials on MachineLearningMastery.com
An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
Formatted datasets for Machine Learning With R by Brett Lantz
Machine learning resources,including algorithm, paper, dataset, example and so on.
This page presents a list of satellite imagery datasets with a temporal dimension, mainly satellite image time series (SITS) and satellite videos, for various computer vision and deep learning tasks. It covers multi-temporal datasets with more than two acquisitions but not bi-temporal datasets.
Open source dataset; multimodal fusion;remote sensing;optical images; SAR images;deep learning
A 1D analogue of the MNIST dataset for measuring spatial biases and answering Science of Deep Learning questions.
ABC: A Big CAD Model Dataset For Geometric Deep Learning
Implementations for my blog post [here](https://medium.com/@TalPerry/deep-learning-the-stock-market-df853d139e02#.flflpo3xf)
Credit card fraud detection through logistic regression, k-means, and deep learning.
A Multiclass Weed Species Image Dataset for Deep Learning
The PatchCamelyon (PCam) deep learning classification benchmark.
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.
深度学习以进行时间序列预测
This repository lets you train neural networks models for performing end-to-end full-page handwriting recognition using the Apache MXNet deep learning frameworks on the IAM Dataset.
KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network
Convolutional neural network model for video classification trained on the Kinetics dataset.
This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-2010 dataset and present how model architecture is constructed here. The FI-2010 is publicly avilable and interested readers can check out their paper.
Easily embed, cluster and semantically label text datasets
Agent harness to publish your agent chat history as Huggingface datasets.
HumanML3D: A large and diverse 3d human motion-language dataset.
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