Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.
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Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.
Entwine - point cloud organization for massive datasets
A collection of useful datasets for robotics and computer vision
A compilation of 125+ free datasets for use in social science, applied microeconomics, data visualization, etc.
RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
Code for PaperRobot: Incremental Draft Generation of Scientific Ideas
Open, source-backed catalog of computer-use agents: reviewed papers, GUI models, datasets, benchmarks, tools, and reusable JSONL/SQLite data.
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
Python library for working with Music Information Retrieval datasets
Reactive datatables for large or small datasets
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.
A curated list of resources dedicated to Natural Language Processing (NLP) in polish. Models, tools, datasets.
Automated collection and reporting of citations for used software/methods/datasets
Companion repository for “In-Context Learning for Robots: Methods and Applications” — methods, datasets, and benchmarks organized by taxonomy and release date.
BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
Images and other data from the JUMP Cell Painting Consortium
The World's Most Comprehensive, Authoritative, and Structured Open Source Data Source Knowledge Base
Read and write Neuroglancer datasets programmatically.
Gekko Trading Bot dataset dumps. Ready to use and download history files in SQLite format.
🏃 The go-to single-cell Foundation Model
Agricultural datasets
A format for APIs, libraries and datasets containing and working with public transport data.
Python library for handling audio datasets.