Search Results for "example" - Page 13
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Showing 317 open source projects for "example"
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Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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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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Maximum entropy is a powerful method for constructing statistical models of classification tasks, such as part of speech tagging in Natural Language Processing. Several example applications using maxent can be found in the OpenNLP Tools Library.
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ANT is a lightweight implementation in C of a kind of artificial neural net called Multilayer Perceptron, which uses the backpropagation algorithm as learning method. The package includes an introductory example to start using artificial neural nets.
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PDDL4J is an open source library to facilitate java implementation of planners based on the PDDL (Planning Description Language). The library contains a parser on the last version of PDDL 3.0 and an example of graphplan implementation.
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Inexact is a library developed in Java 5.0 to implements three methods of information fuzzy retrieval: Fuzzy query, Query by example and the two previous methods together. This project uses the fuzzy logic paradigm (Artificial Intelligence).
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Device independend source code of Fuzzy logic expert system. Reads FCL (fuzzy control language). Sourcecode in C++. Example program is tested with Linux, should also work with Windows or other operating systems. Without a graphical user interface.
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D-Cog (Declarative-Cognition) is a Java based framework for training software components (reusable, object-oriented, interface-driven components). Instead of programmed, software components are trained by example to get the expected results.
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Lightweight backpropagation neural network in C. Intended for programs that need a simple neural network and do not want needlessly complex neural network libraries. Includes example application that trains a network to recognize handwritten digits.
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An agent that tries to learn your taste in music based on an example database, using different AI-learning-approaches.
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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This library implements self-organizing neural networks, also called Kohonen Nets. They can be used for high dimensional data analysis. Example: content based image recognition ( CBIR ).
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TGPopulation is a genetic programming library for Borland Delphi, C++ Builder, Kylix and Free Pascal. Symbolic Regression and GP Robots are two example applications for it.
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Set of Java packages to apply Genetic Algorithms to any kind of problem. Various genetic operators are implemented and an example shows of how the system could be applied to digital circuit evolution.
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Example-based Development of Grammars (EDG) is a system implemented in Lisp for building natural language grammars and lexicons incrementally and interactively.
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RL-Stock
Automated stock trading through a simulated training environment
...It focuses on how an agent can learn trading-like behavior through rewards, states, and actions. The repository is useful for learners who want to connect reinforcement learning concepts with a familiar financial market example. Its main value is demonstrating the structure of a deep reinforcement learning trading experiment while making clear that real-world investing requires much more validation and risk control. -
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NXTAI's main objective is to create a new generation of natural language processing program by using a unique neural networking model. To demonstrate the algorithm works, A chatbot will be developed as a classical example of how it can be used.
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wav2vec2-large-xlsr-53-portuguese
Portuguese ASR model fine-tuned on XLSR-53 for 16kHz audio input
wav2vec2-large-xlsr-53-portuguese is an automatic speech recognition (ASR) model fine-tuned on Portuguese using the Common Voice 6.1 dataset. It is based on Facebook’s wav2vec2-large-xlsr-53, a multilingual self-supervised learning model, and is optimized to transcribe Portuguese speech sampled at 16kHz. The model performs well without a language model, though adding one can improve word error rate (WER) and character error rate (CER). It achieves a WER of 11.3% (or 9.01% with LM) on Common... -
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VaultGemma
VaultGemma: 1B DP-trained Gemma variant for private NLP tasks
VaultGemma is a sub-1B parameter variant of Google’s Gemma family that is pre-trained from scratch with Differential Privacy (DP), providing mathematically backed guarantees that its outputs do not reveal information about any single training example. Using DP-SGD with a privacy budget across a large English-language corpus (web documents, code, mathematics), it prioritizes privacy over raw utility. The model follows a Gemma-2–style architecture, outputs text from up to 1,024 input tokens, and is intended to be instruction-tuned for downstream language understanding and generation tasks. ...
