Search Results for "visualize" - Page 2
Sort By:
Showing 130 open source projects for "visualize"
View related business solutions-
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
1
TimeTracker
Open-source and free to self-host
TimeTracker by DRYTRIX is a comprehensive self-hosted time tracking and project management application that helps individuals, teams, and small businesses take control of their productivity and billing. Built on a modern web stack (Python/Flask backend with a responsive frontend), TimeTracker enables users to track hours, manage projects and clients, visualize data with interactive charts, and even generate professional invoices directly from tracked time. It embraces privacy and flexibility by running entirely on your own servers, ensuring sensitive business data stays under your control, and supports real-time timer persistence via WebSockets so timers continue even if the browser is closed. ... -
2
BERTopic
Leveraging BERT and c-TF-IDF to create easily interpretable topics
...After having trained our BERTopic model, we can iteratively go through hundreds of topics to get a good understanding of the topics that were extracted. However, that takes quite some time and lacks a global representation. Instead, we can visualize the topics that were generated in a way very similar to LDAvis. By default, the main steps for topic modeling with BERTopic are sentence-transformers, UMAP, HDBSCAN, and c-TF-IDF run in sequence. -
3
Transparent Background
This is a background removing tool powered by InSPyReNet
...You can easily remove the background from the image or video or bunch of other stuffs when you can make the background transparent! We basically follow the virtual camera settings from pyvirtualcam. If you do not choose to install virtual camera, it will visualize real-time output with cv2.imshow. Use another checkpoint file. Default is trained with composite dataset and will be automatically downloaded if not available. -
4
Lightly
A python library for self-supervised learning on images
...That's why - together with our community - we want to popularize the use of self-supervised methods to understand and curate raw image data. Our solution can be applied before any data annotation step and the learned representations can be used to visualize and analyze datasets. This allows selecting the best core set of samples for model training through advanced filtering. We provide PyTorch, PyTorch Lightning and PyTorch Lightning distributed examples for each of the models to kickstart your project. Lightly requires Python 3.6+ but we recommend using Python 3.7+. We recommend installing Lightly in a Linux or OSX environment. ... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
5
Book2_Beauty-of-Data-Visualization
Machine Learning, Criticism and Correction
Book2_Beauty-of-Data-Visualization is an open educational project that teaches the principles and techniques of effective data visualization using Python and modern plotting libraries. The repository focuses on both the technical and aesthetic aspects of visual analytics, helping learners understand how to communicate data clearly and persuasively. It includes practical examples that demonstrate how different chart types reveal patterns, trends, and distributions in real datasets. The... -
6
Habit Tracker
Habit Tracker for the AI Coding Workshop
Habit Tracker is a personal habit-tracking web application designed to help users build and maintain daily habits through intuitive UI and analytics that visualize progress over time. It runs locally with a FastAPI backend (Python) and a React frontend, storing all data in a lightweight SQLite database so there’s no need for user accounts or cloud storage, which keeps habit data fully private and self-contained. The app provides streak tracking and completion rates for each habit, giving users feedback on consistency and motivation by showing how often habits are completed and where they may be lagging. ... -
7
Segments.ai
Segments.ai Python SDK
Multi-sensor labeling platform for robotics and autonomous vehicles. The platform for fast and accurate multi-sensor data annotation. Label in-house or with an external workforce. Intuitive labeling interfaces for images, videos, and 3D point clouds (lidar and RGBD). Obtain segmentation labels, vector labels, and more. Our labeling interfaces are set up to label fast and precise. Powerful ML assistance lets you label faster and reduce costs. Integrate data labeling into your existing ML... -
8
PRML
PRML algorithms implemented in Python
...Rather than just summarizing concepts, the repository includes working code that demonstrates linear regression and classification, kernel methods, neural networks, graphical models, mixture models with EM algorithms, approximate inference, and sequential data methods — all following the book’s structure and notation. Many of these algorithms are paired with Jupyter notebooks that let users interact with the code, visualize results, and experiment with parameters in a way that deeply strengthens theoretical understanding. -
9
BigMac
An open-source toolkit for BigMac-style pipeline-parallel training
...A Megatron-Core reference backend and Qwen3 and Qwen3-VL tutorials help developers connect the approach to real training workflows. The simulator lets researchers visualize schedules, compare pipeline strategies, and model timing imbalances caused by compute cost, input size, or uneven stage partitioning. Profiling tools also expose per-operator traces for diagnosing pipeline performance before or during experiments. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
-
10
LingBot-Map
A feed-forward 3D foundation model for reconstructing scenes
LingBot-Map is a specialized project focused on mapping conversational or linguistic interactions within chatbot or AI-driven systems, providing a structured way to visualize and organize dialogue flows. It is designed to help developers understand how conversations evolve across different states, enabling better debugging and optimization of chatbot behavior. The system emphasizes mapping relationships between intents, responses, and transitions, creating a clear representation of conversational logic. ... -
11
Torrra
A Python tool that lets you search and download torrents
...Users can add, pause, prioritize, and remove torrents dynamically, while the client intelligently manages piece selection, peer discovery, and bandwidth allocation to optimize download throughput. Torrra also includes hooks for event monitoring and status reporting, enabling third-party tools to visualize torrent progress or integrate with home automation dashboards. -
12
Grafana
Leading open-source visualization and observability platform
Grafana OSS is the leading open-source platform for visualization and observability. It enables teams to query, visualize, alert on, and explore telemetry data from multiple sources in a single interface. With support for 100+ data source plugins—including Prometheus, Loki, Elasticsearch, InfluxDB, SQL/NoSQL databases, and OpenTelemetry—Grafana helps teams correlate metrics, logs, and traces across applications and infrastructure. Users can build interactive dashboards with rich visualizations, template variables, and reusable panels to monitor systems and troubleshoot issues in real time. ... -
13
Lightweight' GAN
Implementation of 'lightweight' GAN, proposed in ICLR 2021
Implementation of 'lightweight' GAN proposed in ICLR 2021, in Pytorch. The main contribution of the paper is a skip-layer excitation in the generator, paired with autoencoding self-supervised learning in the discriminator. Quoting the one-line summary "converge on single gpu with few hours' training, on 1024 resolution sub-hundred images". Augmentation is essential for Lightweight GAN to work effectively in a low data setting. You can test and see how your images will be augmented before... -
14
OpenVINO Notebooks
Jupyter notebook tutorials for OpenVINO
...The tutorials also illustrate how OpenVINO integrates with models from frameworks like PyTorch, TensorFlow, and ONNX to accelerate inference workloads. Many notebooks include end-to-end examples that show how to prepare input data, load optimized models, run inference, and visualize results. The project is particularly useful for developers who want to learn how to optimize machine learning inference pipelines for production environments. -
15
Penzai
A JAX research toolkit to build, edit, & visualize neural networks
Penzai, developed by Google DeepMind, is a JAX-based library for representing, visualizing, and manipulating neural network models as functional pytree data structures. It is designed to make machine learning research more interpretable and interactive, particularly for tasks like model surgery, ablation studies, architecture debugging, and interpretability research. Unlike conventional neural network libraries, Penzai exposes the full internal structure of models, enabling fine-grained... -
16
Acontext
Context data platform for building observable, self-learning AI agents
Acontext is a cloud-native context data platform designed to support the development and operation of advanced AI agents. It provides a unified system to store and manage contexts, multimodal messages, artifacts, and task workflows, enabling developers to engineer context effectively for their agent products. The platform observes agent tasks and user feedback in real time, offering robust observability into workflows and helping teams understand how agents perform over time. Acontext also... -
17
BimmerLink Log Analysis
BMW / MINI Bimmerlink Log Visualizer
...https://www.bimmerlink.app/ Bimmerlink is an application that reads real-time sensor data and vehicle telemetry from BMW and MINI cars through the OBD port. It allows users to capture time-series logs directly from the vehicle's electronic control units. In this project, I aimed to visualize the log files generated by Bimmerlink (exported as .csv) and convert them into a structured PDF report with charts and insights. Disclaimer This is a small utility application designed to visualize Bimmerlink time-series logs. As such, it may contain inaccuracies or errors. It must not be used for real diagnostics, vehicle troubleshooting, or safety-critical decisions. ... -
18
SPPAS
SPPAS - the automatic annotation and analyses of speech
...SPPAS is able to produce automatically speech annotations from a recorded speech sound and its orthographic transcription. SPPAS is helpful for the analysis of any annotated data: estimate statistical distributions, make requests, manage files, visualize annotations. SPPAS offers a file converter from/to a wide range of formats: xra, TextGrid, eaf, trs... <https://sppas.org> -
19
Audax Data Manager
Web tool for database management
Audax Data Manager (formerly PgManage) is a modern Open-Source Database Client and Administration Tool for PostgreSQL, SQLite, Microsoft SQL Server, MySQL, MariaDB, and Oracle. Explore and edit your data, write SQL queries with smart autocomplete, monitor database performance, run background backups and more! -
20
Hero Planner
An easy to use GUI for creating team rotas and scheduling absences.
...Your Utility Belt: ✓ Super Speed: Intuitive drag-and-drop & bulk actions for lightning-fast updates. ✓ Compliance Shield: Real-time alerts guard against labour law violations and overtime risks. ✓ X-Ray Vision: Instantly visualize coverage gaps, conflicts, and staff availability. ✓ Universal Export: PDF, CSV, and HTML formats. ✓ Stealth Mode: Sleek Dark Mode & customizable themes. Built on Electron, React & Vite for blazing performance. Whether managing a small squad or a legion of 200+ staff, HERO Planner gives you the tools to save the day. Don't just manage the rota—be the Hero. -
21
Geometry Breakdown
Get geometric graphs, metrics, and comparisons for 2D shapes.
Geometry Breakdown is a free and easy to use shape analyzer for Windows. It lets users create, visualize, and export summaries of classic and custom geometric shapes including circles, triangles, rectangles, ellipses, spirals, and both regular and irregular polygons. Irregular shapes can be entered by vertex, and self-intersecting polygons are supported with accurate area detection. Spiral types include Archimedean, Logarithmic, Fermat, and Hyperbolic. -
22
NeuralProphet
A simple forecasting package
NeuralProphet bridges the gap between traditional time-series models and deep learning methods. It's based on PyTorch and can be installed using pip. A Neural Network based Time-Series model, inspired by Facebook Prophet and AR-Net, built on PyTorch. You can find the datasets used in the tutorials, including data preprocessing examples, in our neuralprophet-data repository. The documentation page may not we entirely up to date. Docstrings should be reliable, please refer to those when in... -
23
AutoViz
Automatically Visualize any dataset, any size
AutoViz is a Python data visualization library designed to automate exploratory data analysis by generating multiple visualizations with minimal code. The primary goal of the project is to help data scientists and analysts quickly understand patterns, relationships, and anomalies within datasets without manually writing complex plotting code. With a single command, the library can automatically generate dozens of charts and graphs that reveal insights into the structure and quality of the... -
24
Sorting-Visualizer
A GUI sorting visualizer desktop application
A GUI sorting visualizer desktop application that helps to visualize various sorting algorithms interactively. Visualizer the sorting algorithms like Bubble sort, Insertion sort, Selection sort, Gnome sort, Shaker sort and Odd even sort. Change the bar color and background by customizing. Increase or decrease speed of animation to visualize the sorting process. Download now! -
25
pysoundanalyser
a python program to generate, visualize, and manipulate short sounds
pysoundanalyser is a Python application that can be used to generate, visualize, and manipulate short sounds through a graphical user interface. Visualization functions include visualization of the power spectrum, the spectrogram, the autocorrelation, and the autocorrelogram of a sound. Manipulation functions include filtering, concatenating, cutting, and scaling the level of a sound. Several types of sounds can also be generated including, pure tones, harmonic complex tones, noise of different colours, frequency modulated and amplitude modulated tones.
