If the tool had been command-line based it would have really limited the effectiveness of the attacks and the inability to fully customize it based on your target.
It is an open-source Python-driven tool aimed at penetration testing around Social-Engineering. With over two million downloads, SET is the standard for social engineering penetration tests and supported heavily within the security community. The Social-Engineer Toolkit has over 2 million downloads and is aimed at leveraging advanced technological attacks in a social-engineering type environment. Advancement of artificial intelligence AI research depends on figuring out tough problems in existing environments using current benchmarks for training AI models.
Using Unity and the ML-Agents toolkit , you can create AI environments that are physically, visually, and cognitively rich. Dynamic instrumentation toolkit for developers, reverse-engineers, and security researchers. Inject your own scripts into black box processes. Hook any function, spy on crypto APIs or trace private application code, no source code needed. Edit, hit save, and instantly see the results.
All without compilation steps or program restarts. Install the Node. It enables you to carry out entire data analysis workflows in Python without having to switch to a more domain specific language. With pandas, performance, productivity and collaboration in doing data analysis in Python can significantly increase. It gives your team a complete suite of meeting tools to make agile, smart decisions. Free Trial. Neural Network Intelligence is an open source AutoML toolkit for automate machine learning lifecycle, including feature engineering , neural architecture search, model compression and hyper-parameter tuning.
NNI Neural Network Intelligence is a lightweight but powerful toolkit to help users automate feature engineering , neural architecture search, hyperparameter tuning and model compression. The tool manages automated machine learning AutoML experiments, dispatches and runs experiments Matplotlib matplotlib: plotting with Python.
Matplotlib is the brainchild of John Hunter , who, along with its many contributors, have put an immeasurable amount of time and effort into producing a piece of software utilized by thousands of scientists worldwide.
Matplotlib has support for visualizing information with a wide array of colors and colormaps. It leverages recent advantages in Bayesian optimization, meta-learning and ensemble construction. Auto-sklearn 2. It is used in both industry and academia in a wide range of domains including robotics, embedded devices, mobile phones, and large high performance computing environments. Dlib's open source licensing allows you to use it in any application, free of charge.
Good unit test coverage, the ratio of unit test lines of code to library lines of code is about Fairseq -py is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling and other text generation tasks. We provide reference implementations of various sequence modeling papers. Recent work by Microsoft and Google has shown that data parallel training can be made significantly more efficient by sharding the model parameters and optimizer state across data parallel workers.
These ideas are encapsulated Resource Portfolio Management Resource Forecasting. Capacity Planning. Purpose Built. Improve decision making with comprehensive understanding of the real-time impact of different resource decisions and scenarios on your project portfolio.
Normalize user config path usage with string append and os. Feb 1, Port original pyminifakedns, circa , to Python 3. Mar 14, Use print function in both Python 2 and Python 3. Jul 28, View code. Resources Readme. Releases tags. Packages 0 No packages published.
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