Search Results for "chat program code using java"

Showing 4 open source projects for "chat program code using java"

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  • 1
    commit-autosuggestions

    commit-autosuggestions

    A tool that AI automatically recommends commit messages

    This is implementation of CommitBERT: Commit Message Generation Using Pre-Trained Programming Language Model. CommitBERT is accepted in ACL workshop : NLP4Prog. Have you ever hesitated to write a commit message? Now get a commit message from Artificial Intelligence! CodeBERT: A Pre-Trained Model for Programming and Natural Languages introduces a pre-trained model in a combination of Program Language and Natural Language(PL-NL). It also introduces the problem of converting code into natural...
    Downloads: 0 This Week
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  • 2

    Volunteer workshift scheduler

    Volunteer workshift scheduler for a helpline service

    Code written in Python finds the best possible schedule for volunteers while incorporating constrains and special requirements using CP-SAT Solver (Constraint Programming - boolean SATisfiability problem Solver). Java version is in development. The problem Arranging volunteers for a helpline service for the period of one month. There are three types of work that could be done on the same day: Phone shift: Every day. Chat shift: Mondays and Wednesdays. Observer shift...
    Downloads: 0 This Week
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  • 3
    Lioness (Languages Interop Framework)
    Framework for making Windows applications that are one .exe file in AutoHotKey_L,C++,C#, VB.NET,Java,Groovy,Common Lisp,Nemerle,Ruby,Python,PHP,Lua,Tcl,Perl,Jint,S#,WSH VBScript,HTML/JavaScript/CSS,COM, PowerShell without compiling . For .NET 4.
    Downloads: 1 This Week
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  • 4
    Llama-2-7b-hf

    Llama-2-7b-hf

    Llama-2-7B is a 7B-parameter transformer model for text generation

    ..., question answering, and code generation. Llama-2-7B outputs text only, with input also restricted to text. Fine-tuned variants of this model, such as Llama-2-Chat, demonstrate competitive performance in dialogue tasks and safety benchmarks, rivaling proprietary models. The model was trained using Meta’s infrastructure, including 184,320 GPU hours and emissions fully offset by Meta’s sustainability program.
    Downloads: 0 This Week
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