Synthetic data generators for tabular and time-series data
-
Updated
May 9, 2024 - Jupyter Notebook
Synthetic data generators for tabular and time-series data
A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.
A system for quickly generating training data with weak supervision
Computer vision based ML training data generation tool 🚀
The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.
Augmenty is an augmentation library based on spaCy for augmenting texts.
Python scripts for Blender's scripting API to generate logic geometric puzzles utilizing the Phobos (https://github.com/dfki-ric/phobos) add-on for Blender.
Pure Python, lightweight, Pillow-based solver for Amazon's text captcha.
GRASS GIS addon for Incora landcover classification. See also https://github.com/mundialis/incora
Retrieval based biomedical chatbot to answer questions related to diseases
Leverage data analytics to identify "Hot Leads" and sculpt personalized strategies for maximum conversion potential, propelling X Education to new heights of success.
Machine Learning Practice and Exercises Welcome to our repository dedicated to the practice and mastery of machine learning (ML) concepts and techniques. This repository serves as a comprehensive resource for learners and enthusiasts looking to enhance their ML skills through hands-on exercises and practical applications.
Convert all files in git repository to .txt files. Useful for training LLMs on your codebase.
Web UI for the data behind PicPic, an automatic image selection tool for news articles
Convert Supervisely to Pascal VOC
Augmentation pipeline for rendering synthetic paper printing, faxing, scanning and copy machine processes
learning python day 4
This library helps you compress your dataset to optimize Ai Training costs.
Python script to transform a set of localization .json files into a .jsonl file for LLM fine-tuning.
Add a description, image, and links to the training-data topic page so that developers can more easily learn about it.
To associate your repository with the training-data topic, visit your repo's landing page and select "manage topics."