Search Results for "python language" - Page 17
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Showing 440 open source projects for "python language"
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pyPal is a jabber based chatterbot that can be used to launch commands remotely as well as to make some good conversation. It is expected to be capable of multi-language learning.
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SenseRank Sys: - builds the dictionaries (multidim matrices) of words’ values; - for the set utterance in certain language builds a figure in multidimensional space (in the matrix space) of values (visual schema), which is topological view of sense
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pyDATR is an implementation of the DATR language written in Python and usable as Python library. It provides a means for persistence and some extensability with Python functions.
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Cathnet is developing the infrastructure for the Catholic Semantic Web. Technologies involved include, but are not limited to, XML, RDF, NLP, Zope, Plone and Plone products.
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Zerorule is a lite rule engine/expert system that implements the RETE algorithm which can improve the speed of forward-chained rule system. It is written entirly in the powerful python language. it supplies both a script interpreter and simple CLI.
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Collection of Python scripts providing interactions between the sociological investigation platform and webservices (such as NLP, search engine, web database).
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Software to fit whole-sentence language models using the principle of maximum entropy. For developers of speech recognizers, text prediction interfaces, OCR, machine translation software.
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Excors is a natural language interpretation system (chatterbot framework) that uses XML and Python for natural language modules.
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Educational game framework supporting board games, strategy games, and other grid-based game boards. Currently uses Python/wxPython as the application language/library. C++ libs included to help create AI for the various games.
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This is a Chinese Language Aritficial Intelligence project.This project provide a chatbot that can talk with users in Chinese.
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FramerD is a distributed semi-structured object database originally developed at MIT. It provides an internationalized Scheme-based scripting language, built-in text analysis tools, and special support for web scripting.
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is a natural language understanding program written in Python. It includes an English language parser, an English dictionary tagged with parts of speech and including phrasal verbs and common first names, a spelling corrector, and an indexed file module
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Deduce is an artificial intelligence program which accepts natural language sentences as input, then allows the user to ask questions against that input. Deduce attempts to answer questions using logical deduction techniques.
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A robot wars variant. A computer game in which robots are governed by a simple assembly language. Various arenas running on different hosts can be connected over the internet, so that robots blundering into transporters can be sent from machine to machi
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Chloe - a chatterbot with charisma. Learns from experience, and speaks any language you teach her. Perhaps even useful, but surely entertaining.
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In Hoverbots, robots with an artificial intelligence fight each other in a 3D environment. The AI is coded by the competitors in any language. Robots can create drones with up to the same functionality as the robot, or simply as bombs.
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JFIPA is intended to be a scalable, easy-to-deploy router and parser of messages between agents using the FIPA Agent Communication Language represented as XML
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Project to Design and Implement a new programming language. The language is named Hybrid (c), as it's nature. We "build on" existing languages (Python & others), and not start from scratch (as C++ builds on C). see Docs.
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Tianji
Evaluation suite designed to assess the performance of LLMs
Tianji is a comprehensive evaluation suite designed to assess the performance of large language models (LLMs) across multiple dimensions. It focuses on measuring general capabilities such as reasoning, knowledge, commonsense, and language understanding. Tianji provides a curated set of benchmarks and a unified framework for systematically comparing LLMs, making it useful for research and model selection. -
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webXcreta users natural language processing to create grammatical averages of textual communication and then generate original content based on these statistics.
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grok-1
Grok-1 is a 314B-parameter open-weight language model by xAI
Grok-1 is a large-scale language model released by xAI, featuring 314 billion parameters and made available under the Apache 2.0 license. It is designed for text generation and was trained for advanced language understanding and reasoning capabilities. Grok-1 is currently distributed as open weights, with inference support requiring multi-GPU hardware due to its size. The model can be downloaded from Hugging Face and run using the accompanying Python code in the official GitHub repository... -
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NewsNotFound
This is the entire source code for NewsNotFound's article gen process
Our mission is to lead the way in AI journalism by providing completely neutral and unbiased news articles that can be governed by the public. NewsNotFound is a news website located at https://newsnotfound.com. We want to build the most unbiased news platform on the internet. -
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phi-2
Small, high-performing language model for QA, chat, and code tasks
Phi-2 is a 2.7 billion parameter Transformer model developed by Microsoft, designed for natural language processing and code generation tasks. It was trained on a filtered dataset of high-quality web content and synthetic NLP texts created by GPT-3.5, totaling 1.4 trillion tokens. Phi-2 excels in benchmarks for common sense, language understanding, and logical reasoning, outperforming most models under 13B parameters despite not being instruction-tuned or aligned via RLHF. It performs best... -
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GPT-2
GPT-2 is a 124M parameter English language model for text generation
GPT-2 is a pretrained transformer-based language model developed by OpenAI for generating natural language text. Trained on 40GB of internet data from outbound Reddit links (excluding Wikipedia), it uses causal language modeling to predict the next token in a sequence. The model was trained without human labels and learns representations of English that support text generation, feature extraction, and fine-tuning. GPT-2 uses a byte-level BPE tokenizer with a vocabulary of 50,257 and handles... -
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