Highcharts
Highcharts, a Javascript-based charting library, makes it easy to add interactive charts and graphs to web or mobile projects of any size.
Highcharts is used by more than 80% of the 100 biggest companies in the world, as well as thousands of developers from a variety of industries, including finance, publishing, application development, and data science.
Highcharts is in active development since 2009. It remains a favorite among developers due to its robust feature set and ease-of-use documentation, accessibility features and vibrant community.
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PathSolutions TotalView
TotalView offers network monitoring as well as root-cause troubleshooting of problems in plain-English. The solution monitors every device as well as every interface on every device. In addition, TotalView goes deep, collecting 19 error counters, performance, configuration, and connectedness so nothing is outside of it’s view. A built-in heuristics engine analyzes this information to produce plain-English answers to problems. Complex problems can now be solved by junior level engineers leaving the senior level engineers to work on more strategic level projects. The core product includes everything needed to run a perfectly healthy network: Configuration management, server monitoring, cloud service monitoring, IPAM, NetFlow, path mapping, and diagramming. Get Total Network Visibility on your network and solve more problems faster.
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Microsoft Cognitive Toolkit
The Microsoft Cognitive Toolkit (CNTK) is an open-source framework designed for high-performance distributed deep learning applications. It represents neural networks through a sequence of computational operations organized in a directed graph structure. Users can effortlessly implement and integrate various popular model architectures, including feed-forward deep neural networks (DNNs), convolutional neural networks (CNNs), and recurrent neural networks (RNNs/LSTMs). CNTK employs stochastic gradient descent (SGD) along with error backpropagation learning, enabling automatic differentiation and parallel processing across multiple GPUs and servers. It can be utilized as a library within Python, C#, or C++ applications, or operated as an independent machine-learning tool utilizing its own model description language, BrainScript. Additionally, CNTK's model evaluation capabilities can be accessed from Java applications, broadening its usability. The toolkit is compatible with 64-bit Linux as well as 64-bit Windows operating systems. For installation, users have the option of downloading pre-compiled binary packages or building the toolkit from source code available on GitHub, which provides flexibility depending on user preferences and technical expertise. This versatility makes CNTK a powerful tool for developers looking to harness deep learning in their projects.
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NeuroIntelligence
NeuroIntelligence is an advanced software application that leverages neural networks to support professionals in data mining, pattern recognition, and predictive modeling as they tackle practical challenges. This application includes only validated neural network modeling algorithms and techniques, ensuring both speed and user-friendliness. It offers features such as visualized architecture search, along with comprehensive training and testing of neural networks. Users benefit from tools like fitness bars and comparisons of training graphs, while also monitoring metrics like dataset error, network error, and weight distributions. The program provides a detailed analysis of input importance, alongside testing tools that include actual versus predicted graphs, scatter plots, response graphs, ROC curves, and confusion matrices. Designed with an intuitive interface, NeuroIntelligence effectively addresses issues in data mining, forecasting, classification, and pattern recognition. Thanks to its user-friendly GUI and innovative time-saving features, users can develop superior solutions in significantly less time. This efficiency empowers users to focus on optimizing their models and achieving better results.
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