Search Results for "python ids"
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16 projects for "python ids" with 1 filter applied:
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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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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Tiktoken
tiktoken is a fast BPE tokeniser for use with OpenAI's models
...Internally, it includes the core tokenizer logic (often implemented in Rust or efficient lower-level code), APIs for encoding, decoding, and counting tokens, and binding layers to Python (and sometimes other languages) for easy use. -
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MiniOneRec
Minimal reproduction of OneRec
MiniOneRec is an open-source framework designed to explore generative approaches to recommendation systems using large language model architectures. Traditional recommender systems typically rely on large embedding tables and ranking models, but MiniOneRec adopts a generative paradigm in which items are represented as sequences of semantic identifiers generated by autoregressive models. The framework provides an end-to-end pipeline for building generative recommender systems, including... -
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minbpe
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm
minbpe is a minimal, clean implementation of byte-level Byte Pair Encoding (BPE), the tokenization approach widely used in modern language models. It operates on UTF-8 encoded bytes rather than Unicode characters, which makes it robust to arbitrary text inputs and avoids needing a language-specific character vocabulary. The repository is structured as a teaching-oriented implementation that shows how to train a tokenizer by learning merge rules, then apply those merges to encode text into... -
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PRM800K
800,000 step-level correctness labels on LLM solutions to MATH problem
PRM800K is a process supervision dataset accompanying the paper Let’s Verify Step by Step, providing 800,000 step-level correctness labels on model-generated solutions to problems from the MATH dataset. The repository releases the raw labels and the labeler instructions used in two project phases, enabling researchers to study how human raters graded intermediate reasoning. Data are stored as newline-delimited JSONL files tracked with Git LFS, where each line is a full solution sample that... -
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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DeepCluster
Deep Clustering for Unsupervised Learning of Visual Features
DeepCluster is a classic self-supervised clustering-based representation learning algorithm that iteratively groups image features and uses the cluster assignments as pseudo-labels to train the network. In each round, features produced by the network are clustered (e.g. k-means), and the cluster IDs become supervision targets in the next epoch, encouraging the model to refine its representation to better separate semantic groups. This alternating “cluster & train” scheme helps the model... -
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Password Guessing Framework
A Framework for Comparing Password Guessing Strategies
The Password Guessing Framework is an open source tool to provide an automated and reliable way to compare password guessers. It can help to identify individual strengths and weaknesses of a guesser, its modes of operation or even the underlying guessing strategies. Therefor, it gathers information about how many passwords from an input file (password leak) have been cracked in relation to the amount of generated guesses. Subsequent to the guessing process an analysis of the cracked... -
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ospfdiscoverysnmp
OSPF network discovery script via SNMP.
...After providing necessary info and the OSPF info is gathered, the user has three choices: display the OSPF routers info on the screen, export the data to a file for Excel importing and generate the OSPF topology showing neighborships, router IDs and neighbor IPs. Tools used for coding and testing: Python 2.7.3, PySNMP, GNS3, Linux. Tested on Cisco 2621, 2691, 3660. -
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DogoIDS
Active-probing-based network IDS for wireless networks
DogoIDS is an open-source active-probing-based network intrusion detection system (AP-NIDS) for wireless multihop networks (MANETs, Wireless Mesh Networks, Sensor Networks, etc). At this stage, DogoIDS only support the IEEE 802.11s standard for Wireless Mesh Networks. DogoIDS is now under construction in a very early stage and mainly for research purposes. However, we aim to release a stable version ready for production soon. *** IMPORTANT *** We uploaded the very first experimental... -
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Mole
Automatic SQL Injection Exploitation Tool
Mole is an automatic SQL Injection exploitation tool. Only by providing a vulnerable URL and a valid string on the site it can detect the injection and exploit it, either by using the union technique or a boolean query based technique. The Mole uses a command based interface, allowing the user to indicate the action he wants to perform easily. The CLI also provides auto-completion on both commands and command arguments, making the user type as less as possible. -
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PyPedal is a Python module that provides tools for the manipulation of pedigrees, simple visualization of pedigrees, and the calculation of measures of genetic diversity from pedigrees.
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Django application for helping manage a convention-style Art Show. Primary created for the Further Confusion convention, this is being made available to any other convention if they find it useful to them.
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PyIDS is an intrusion detection system whose aim is to provide concise information to administrators about some parts of the system i.e filesystem checksums, unknown connections to the machine, access control lists of special files, log revision...
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STAT is a framework for building modular, stateful signature-based intrusion detection systems. STAT provides a means to develop sensors which operate in different domains and environments.
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This toolkit will provide seemless backend support for multiple Firewall and IDS systems deployment. The initial release will only support Snort and FreeBSD\\\'s ipfw, but future releases will expand the firewall selection. The main code is Python,
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Runs (malicious) executables under Wine and generates an IDS-signature based on the observed network traffic.
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