Search Results for "cell network tracking"
Sort By:
Showing 9 open source projects for "cell network tracking"
View related business solutions-
99.99% Uptime for Your Most Critical DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
-
$300 in Free Credit Across 150+ Cloud ServicesStart your project in minutes. After credits run out, 20+ products include free monthly usage. Only pay when you're ready to scale with Google Cloud.
-
1
Fetch for Android
The best file downloader library for Android
...For Android SDK version 23(M) and above, you will also need to explicitly request these permissions from the user. Continuous downloading in the background. Concurrent downloading support. Ability to pause and resume downloads. Set the priority of a download. Network-specific downloading support. Ability to retry failed downloads. Ability to group downloads. Easy progress and status tracking. Download remaining time reporting (ETA). Download speed reporting. Save and Retrieve download information anytime. Notification Support. Storage Access Framework, Content Provider and URI support. -
2
Linux Command Library (Mobile+CLI+Web)
1M downloads Linux reference app with basics, tips and formatted pages
The app currently has 5547 manual pages, 22+ basic categories and a bunch of general terminal tips. It works 100% offline, doesn't need an internet connection and has no tracking software. -
3
OmniTools
Self-hosted collection of powerful web-based tools for everyday tasks
...It’s also packaged for straightforward self-hosting, with a lightweight Docker image and simple run commands, so it can be deployed quickly on a homelab or internal network. -
4
Horde
Horde is a distributed Supervisor and Registry
...With Horde.Registry you register processes globally and look them up anywhere, while Horde.DynamicSupervisor starts and migrates children across nodes, rebalancing as capacity or health changes. Because everything runs under OTP supervision, failures are isolated and recoveries are automatic, even during network partitions or rolling deploys. It integrates naturally with common clustering tools and plays well with PubSub, job systems, and presence tracking. The result is predictable, configuration-driven distribution that removes a lot of custom glue typically needed for multi-node Elixir systems. -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
-
5
Differentiable Neural Computer
A TensorFlow implementation of the Differentiable Neural Computer
...This allows the model to learn how to store and retrieve information across long time horizons, much like a traditional computer. The architecture consists of modular components including an access module for managing memory operations, a controller (often an LSTM or feedforward network) for issuing read/write commands, and submodules for temporal linkage and memory allocation tracking. -
6
Compare GAN
Compare GAN code
compare_gan is a research codebase that standardizes how Generative Adversarial Networks are trained and evaluated so results are comparable across papers and datasets. It offers reference implementations for popular GAN architectures and losses, plus a consistent training harness to remove confounding differences in optimization or preprocessing. The library’s evaluation suite includes widely used metrics and diagnostics that quantify sample quality, diversity, and mode coverage. With... -
7
Accord.NET Framework
Scientific computing, machine learning and computer vision for .NET
The Accord.NET Framework provides machine learning, mathematics, statistics, computer vision, computer audition, and several scientific computing related methods and techniques to .NET. The project is compatible with the .NET Framework. NET Standard, .NET Core, and Mono. -
8
neuranep
Neural Network Engineering Platform
...SpikeOS was oriented towards computational modeling. NeuraNEP is oriented toward neural network research. -
9
Imlementation of SOM (Self organizing networks) a neural network for IBM Cell Broadband Engine Architecture.
-
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
- Previous
- You're on page 1
- Next
