Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
- data-analysis
- pandas
- flexible
- alignment
47,133 repositories indexed
1–20 of 20 · Most stars
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
CVAT is a leading data annotation platform for image, video, audio, and 3D datasets. It offers open-source, cloud, and enterprise products, as well as labeling services, with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.
Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Open source annotation tool for machine learning practitioners.
A system for quickly generating training data with weak supervision
N-D labeled arrays and datasets in Python
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
What's in your data? Extract schema, statistics and entities from datasets
A scikit-learn based module for multi-label et. al. classification
Source-linked Claude 5.5 video workflows: Opus and Sonnet demos, separately labeled next-Fable testing reports, prompts, tools and production evidence.
🚀 Useful README.md, LICENSE, CONTRIBUTING.md, CODE_OF_CONDUCT.md, SECURITY.md, GitHub Issues, Pull Requests and Actions templates to jumpstart your projects.
A tool for semi-automatic cell type classification
AVClass malware labeling tool
TranslatedCNN | Keras/PyTorch | CAPTCHA recognition
TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524
A dataset of 2D imagery, 3D point cloud data, and 3D vehicle bounding box labels all generated using the Grand Theft Auto 5 game engine.
A native Windows tray app for laptop power, battery runtime and background CPU activity. CPU RAPL, GPU NVML, battery WMI. AC total is a labelled CPU+GPU dual-load sum.
Semi-Supervised Learning with Ladder Networks in Keras. Get 98% test accuracy on MNIST with just 100 labeled examples !