Search Results for "deep"
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Showing 24 open source projects for "deep"
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PyG
Graph Neural Network Library for PyTorch
PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data. It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers. In addition, it consists of easy-to-use mini-batch loaders for operating on many small and single giant graphs, multi GPU-support, DataPipe support, distributed graph learning via Quiver, a large number of common benchmark datasets (based on simple interfaces to create your own), the GraphGym experiment manager, and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds. ... -
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Hubble
Network, Service & Security Observability for Kubernetes using eBPF
...By building on top of Cilium, Hubble can leverage eBPF for visibility. By leveraging eBPF, all visibility is programmable and allows for a dynamic approach that minimizes overhead while providing deep and detailed insight where required. Hubble has been created and specifically designed to make best use of these new eBPF powers. -
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Nvitop
An interactive NVIDIA-GPU process viewer and beyond
...As a resource monitor, it includes many features and options, such as tree-view, environment variable viewing, process filtering, process metrics monitoring, etc. Beyond that, the package also ships a CUDA device selection tool nvisel for deep learning researchers. It also provides handy APIs that allow developers to write their own monitoring tools. -
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AngularUI Router
The solution to flexible routing with nested views in AngulaJS
...A client-side router updates the browser URL as the user nagivates through the single page app. Conversely, changes to the browser’s URL can drive navigation of the app, enabling a user to create deep-links (i.e., bookmarks) to areas deep within the application. -
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Envoy
Cloud-native high-performance edge/middle/service proxy
Envoy is an open source, high-performance edge/middle/service proxy designed for cloud-native applications. It was built by Lyft to solve the common problem of networking and observability when moving to a distributed architecture. Envoy is a proxy designed for single services and applications. Aside from that it is also a communication bus and “universal data plane” designed for large microservice “service mesh” architectures. It runs right along with every application, and abstracts the... -
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Datadog Client Libraries for Go
Datadog Go Library including APM tracing, profiling, and security
Datadog Application Performance Monitoring (APM) gives deep visibility into your applications with out-of-the-box performance dashboards for web services, queues, and databases to monitor requests, errors, and latency. Distributed traces seamlessly correlate to browser sessions, logs, profiles, synthetic checks, network, processes, and infrastructure metrics across hosts, containers, proxies, and serverless functions. -
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MyPerf4J
High performance Java APM. Powered by ASM
...It integrates well with common Java ecosystems and can be embedded into existing services with relatively little configuration effort. Overall, the project targets teams that need deep insight into Java application performance while maintaining production stability and observability discipline. -
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Roxy-WI
Web interface for managing Haproxy, Nginx, Apache and Keepalived
For those who need a convenient interface for managing all services in one place. Roxy-WI was created for people who want to have a fault-tolerant infrastructure, but do not want to plunge deep into the details of setting up and creating a cluster based on HAProxy, NGINX, Apache, and Keepalived. Use Roxy-WI to build a high available cluster for a couple of clicks: install HAProxy, NGINX, Apache, Keepalived, and its exporters, and carry out the initial configuration for the services. Collect download statistics in one place. ... -
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Dshell
Dshell is a network forensic analysis framework
An extensible network forensic analysis framework. Enables rapid development of plugins to support the dissection of network packet captures. This is a major framework update to Dshell. Plugins written for the previous version are not compatible with this version, and vice versa. By extension, dpkt and pypcap have been replaced with Python3-friendly pypacker and pcapy (respectively). Enables development of external plugin packs, allowing the sharing and installation of new,... -
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.
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Netdeep Secure Firewall
Next Generation Open Source Firewall
...Is a Next Generation Open Source Firewall, which provides virtually all perimeter security features that your company may need. It offers Web content filters, ensuring better performance of the network, allowing users to use the service efficiently and securely, providing a deep control of the use of the Web access service, blocking access to unwanted websites, Virus, Spam, Applications and intrusion attempts. Its configuration is made entirely by the web interface. -
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ecang
Ethercat analyzer. Pcapng (by wireshark) to cvs files converter.
...Wireshark provides some filters to facilitate data analysis but the high amount of recorded information still makes an analysis complicated for many people who do not have a very deep knowledge of the ethercat protocol and Wireshark tools. Ecang can help these people! Ecang extracts the list of the slaves managed and the PDOs exchanged in an ethercat network directly from the network configuration file (ENI file) .xml, thanks to this data it can read numerous information from the file generated by the sniffer (.pcapng) and transfers them to a comma-separated values file (.csv) already applying a first level of validation. -
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Spektral
Graph Neural Networks with Keras and Tensorflow 2
...Spektral implements some of the most popular layers for graph deep learning. Spektral also includes lots of utilities for representing, manipulating, and transforming graphs in your graph deep learning projects. Spektral is compatible with Python 3.6 and above, and is tested on the latest versions of Ubuntu, MacOS, and Windows. Other Linux distros should work as well. The 1.0 release of Spektral is an important milestone for the library and brings many new features and improvements. -
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Weave Scope
Monitoring, visualization and management for Docker and Kubernetes
Understand your application quickly by seeing it in a real-time interactive display. Pick open-source or cloud-hosted options. Weave Scope automatically detects processes, containers, hosts. No kernel modules, no agents, no special libraries, no coding. Seamless integration with Docker, Kubernetes, DCOS and AWS ECS. See your Docker hosts, containers and services in real-time. Easily identify and correct issues to ensure the stability and performance of your containerized applications. View... -
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jNetPcap - A Libpcap Java Binding
A java PCAP and DPI library
A java wrapper for popular "libpcap" and "WinPcap" libraries. Accurate full API translation. Packet buffers delivered with no copies. Send custom packets, gather statistics. Comprehensive and easily extensible DPI engine. -
15
Age and Gender Estimation
Keras implementation of a CNN network for age and gender estimation
...Please set the margin argument to 0 for tight cropping. You can evaluate a trained model on the APPA-REAL (validation) dataset. We pose the age regression problem as a deep classification problem followed by a softmax expected value refinement and show improvements over direct regression training of CNNs. Our proposed method, Deep EXpectation (DEX) of apparent age, first detects the face in the test image and then extracts the CNN predictions from an ensemble of 20 networks on the cropped face. -
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FastoCloud PRO
IPTV/NVR/CCTV/Video cloud https://fastocloud.com
IPTV/Video cloud Features: Cross-platform (Linux, MacOSX, FreeBSD, Raspbian/Armbian) GPU/CPU Encode/Decode/Post Processing Stream statistics CCTV Adaptive hls streams Load balancing Temporary urls HLS push EPG scanning Subtitles to text conversions AD insertion Logo overlay Video effects Relays Timeshifts Catchups Playlists Restream/Transcode from online streaming services like Youtube, Twitch Mozaic Many Outputs Physical Inputs Streaming Protocols File Formats Presets Vods/Series server-side support Pay per view channels Channels on demand HTTP Live Streaming (HLS) server-side support Public API, client server communication via JSON RPC Protocol gzip compression Deep learning video analysis Supported deep learning frameworks: Tensorflow NCSDK Caffe ML Hardware: -
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CapAnalysis
PCAP from another point of view
CapAnalysis is a web visual tool for information security specialists, system administrators and everyone who needs to analyze large amounts of captured network traffic. Analyze TCP and UDP streams Support multible datasets Perform deep packet inspection Support filtering capability Source Code: https://github.com/xplico/CapAnalysis -
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Deep Learning with Keras and Tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow. To date tensorflow comes in two different packages, namely tensorflow and tensorflow-gpu, whether you want to install the framework with CPU-only or GPU support, respectively. NVIDIA Drivers and CuDNN must be installed and configured before hand. Please refer to the official Tensorflow documentation for further details. -
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360-FAAR Firewall Analysis Audit Repair
360-FAAR Analyze FW1 Cisco Netscreen Policy Offline Using Config/Logs
360-FAAR (Firewall Analysis Audit and Repair) is an offline, command line, firewall policy manipulation tool to filter, compare to logs, merge, translate and output firewall commands for new policies, in Checkpoint dbedit, Cisco ASA or ScreenOS commands, and its one file! Read Policy and Logs for: Checkpoint FW1 (in odumper.csv / logexport format), Netscreen ScreenOS (in get config / syslog format), Cisco ASA (show run / syslog format), 360-FAAR compares firewall policies and uses... -
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Myra Canyon
network control and reporting
Easily turn a Ubuntu-based computer into a full linux router, complete with dhcpd, named/bind, iptables firewall, and packet inspection of the network traffic being routed. Deep packet inspection for layer 2 (mac), layer 3 (ipv4, ipv6), layer 4 (icmp, tcp, udp), and layer 7 (application-specific). Summary of network flows and all layers of inspected traffic is stored in a database at 1-second intervals. This database is then mined to drive the Apache/PHP web interface. -
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Black scalpel is an advanced graphical (Swing gui) security and analysis tool written in Java, C and Assembler (platform independent). Current stage is early alpha, many features are still missing. Use SVN!
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DNA is an open, flexible and extensible deep network analyzer software server and software architecture for gathering and analyzing network packets, network sessions and applications protocols, passively off enterprise class networks.
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SLLB is a linux implementation of a software load balancing written in C on GNU/Linux. Problems: - ethernet hardware device compatibilities - deep kernel network programming
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The integration of the VM on most OS is not very deep: It sits on top of the OS, running as a simple app, and does not access most features of the OS. This project's aim is to deeply integrate with the OS to facilitate many services.
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