Datasets collection and preprocessings framework for NLP extreme multitask learning
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Updated
Jul 9, 2025 - Python
Datasets collection and preprocessings framework for NLP extreme multitask learning
Datasets for skin image analysis
A complete imitation learning pipeline for bar alignment using the UR5 robot in NVIDIA Isaac Sim. Includes manual data collection with a game controller, dataset organization for LeRobot, diffusion policy training, and policy deployment through ROS2.
Migrated to pyedmine
SDN Topology Emulation and Development of Dataset for ML-Based Intrusion Detection through the Ryu SDN Framework, Mininet and VirtualBox VMs
A full-stack webapp for collecting and managing speech datasets.
Curated, traceable snapshots of public math reasoning datasets. Canonical JSONL format with provenance tracking — plug directly into math-eval.
Script automation for Dataset Collection and Building with Tkinter GUI.
DatasetIQ is an automated, structured registry of machine learning datasets with unified metadata, continuous validation, and queryable access for dataset discovery, comparison, and selection.
🎥 Transform video files into detailed production documents with CineView AI, an automated tool for filmmakers and content creators, powered by Google Gemini.
Automated drone flight system for collecting multiview images.
Webots Image Dataset Collection For Computer Vision And Deep Learning
Techgium hackathon submission
A GUI for managing, visualizing, and analyzing competitive programming datasets with a PyQt6 GUI.
Collection of country-level business email datasets and B2B contact samples for research, analytics, and data science projects.
CyberClassify - A carefully crafted tool for classifying and organizing malware datasets.
ROS 2 Jazzy workspace for a mecanum-wheeled dataset-collection robot: URDF, bringup, and ros2_control stack
Awesome-matchem-datasets is a curated collection of high-quality datasets for machine learning and data analysis in the field of chemistry. This repository includes various datasets, ranging from molecular structures to experimental results, suitable for both research and educational purposes.
This interactive Python tool enables the recording of bilingual audio samples using PyAudio and ipywidgets. Designed for data collection tasks such as speech datasets, it provides a user-friendly interface to record, save, label, and manage audio files directly within a Jupyter Notebook.
Android (Kotlin/Compose) field app plus a FastAPI backend for building labeled photo datasets of converter units and identifying them with a PyTorch CNN: CameraX burst capture, biometric login, resilient concurrent uploads, server-side thumbnails, and top-5 inference with test-time augmentation.
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