Visualize and compare datasets, target values and associations, with one line of code.
- pandas-dataframe
- eda
- pandas
- data-exploration
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Visualize and compare datasets, target values and associations, with one line of code.
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Colour Science for Python
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
What's in your data? Extract schema, statistics and entities from datasets
NFStream: a Flexible Network Data Analysis Framework.
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
Keep code, data, containers under control with git and git-annex
Code for PaperRobot: Incremental Draft Generation of Scientific Ideas
[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
Python library for working with Music Information Retrieval 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.
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.
Meta Self-learning for Multi-Source Domain Adaptation: A Benchmark
Python parser and tools for MUSDB18 Music Separation Dataset
The World's Most Comprehensive, Authoritative, and Structured Open Source Data Source Knowledge Base
Read and write Neuroglancer datasets programmatically.
Replication package of the paper titled "How do you Architect your Robots? State of the Practice and Guidelines for ROS-based Systems" published at ICSE-SEIP 2020
Dataset of packed PE samples
Python3 script that transfers files in Google Colab 10-50x faster, using multi-threaded parallel copying between Google Drive locations.
Blazingly fast data comparison tool for Python, powered by Rust. Compare massive CSV/Parquet datasets instantly.
DataSet File Format (DSFF)
Python implementation of the goldeneye algorithm to investigate how classifiers utilise the structure of a dataset.