Showing 13 open source projects for "wxdev-c"

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  • 1
    llama.cpp

    llama.cpp

    Port of Facebook's LLaMA model in C/C++

    The llama.cpp project enables the inference of Meta's LLaMA model (and other models) in pure C/C++ without requiring a Python runtime. It is designed for efficient and fast model execution, offering easy integration for applications needing LLM-based capabilities. The repository focuses on providing a highly optimized and portable implementation for running large language models directly within C/C++ environments.
    Downloads: 141 This Week
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  • 2
    pytorch-cpp

    pytorch-cpp

    C++ Implementation of PyTorch Tutorials for Everyone

    C++ Implementation of PyTorch Tutorials for Everyone. This repository provides tutorial code in C++ for deep learning researchers to learn PyTorch (i.e. Section 1 to 3) Interactive Tutorials are currently running on LibTorch Nightly Version. Libtorch only supports 64bit Windows and an x64 generator needs to be specified. Create all required script module files for pre-learned models/weights during the build.
    Downloads: 0 This Week
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  • 3
    GPTel

    GPTel

    A no-frills ChatGPT client for Emacs

    ...It will ask you for the key if you skipped the previous step. Run it with a prefix-arg to start a new session. In the gptel buffer, send your prompt with M-x gptel-send, bound to C-c RET. Set chat parameters (GPT model, directives etc) for the session by calling gptel-send with a prefix argument.
    Downloads: 2 This Week
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  • 4
    ChatGPT.Net

    ChatGPT.Net

    Unofficial .Net Client for ChatGPT

    The ChatGPT.Net Unofficial .Net API for ChatGPT is a C# library that allows developers to access ChatGPT, a chat-based language model. With this API, developers can send queries to ChatGPT and receive responses in real-time, making it easy to integrate ChatGPT into their own applications. The new method operates without a browser by utilizing a server that has implemented bypass methods to function as a proxy.
    Downloads: 0 This Week
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  • 5
    Megatron

    Megatron

    Ongoing research training transformer models at scale

    ...Megatron is also used in NeMo Megatron, a framework to help enterprises overcome the challenges of building and training sophisticated natural language processing models with billions and trillions of parameters. Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
    Downloads: 2 This Week
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  • 6
    BERTopic

    BERTopic

    Leveraging BERT and c-TF-IDF to create easily interpretable topics

    ...Instead, we can visualize the topics that were generated in a way very similar to LDAvis. By default, the main steps for topic modeling with BERTopic are sentence-transformers, UMAP, HDBSCAN, and c-TF-IDF run in sequence.
    Downloads: 0 This Week
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  • 7
    KoboldCpp

    KoboldCpp

    Run GGUF models easily with a UI or API. One File. Zero Install.

    KoboldCpp is an easy-to-use AI text-generation software for GGML and GGUF models, inspired by the original KoboldAI. It's a single self-contained distributable that builds off llama.cpp and adds many additional powerful features.
    Downloads: 426 This Week
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  • 8
    Alpaca.cpp

    Alpaca.cpp

    Locally run an Instruction-Tuned Chat-Style LLM

    Run a fast ChatGPT-like model locally on your device. This combines the LLaMA foundation model with an open reproduction of Stanford Alpaca a fine-tuning of the base model to obey instructions (akin to the RLHF used to train ChatGPT) and a set of modifications to llama.cpp to add a chat interface. Download the zip file corresponding to your operating system from the latest release. The weights are based on the published fine-tunes from alpaca-lora, converted back into a PyTorch checkpoint...
    Downloads: 6 This Week
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  • 9
    AudioGenerator

    AudioGenerator

    Generates a sound given: volume, frequency, duration

    Generates a sound given: volume, frequency, duration! Download build.zip, unpack zip, and run the executable.
    Downloads: 8 This Week
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  • 10
    PerlPP

    PerlPP

    Perl preprocessor - embed Perl source in any file

    ...The -D switch defines elements of %D. If you do not specify a value, the value true (a constant in the generated script) will be used. The following commands work mostly analogously to their C preprocessor counterparts. but $fn can be determined programmatically. Note that defines set with -D or -s do not take effect until after the script has been generated, which is after the macro code runs.
    Downloads: 0 This Week
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  • 11
    AI Chatbots based on GPT Architecture

    AI Chatbots based on GPT Architecture

    Training & Implementation of chatbots leveraging GPT-like architecture

    Training & Implementation of chatbots leveraging GPT-like architecture with the aitextgen package to enable dynamic conversations. It sure seems like there are a lot of text-generation chatbots out there, but it's hard to find a python package or model that is easy to tune around a simple text file of message data. This repo is a simple attempt to help solve that problem. ai-msgbot covers the practical use case of building a chatbot that sounds like you (or some dataset/persona you choose)...
    Downloads: 0 This Week
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  • 12
    DomE

    DomE

    Implements a reference architecture for creating information systems

    DomE Experiment is an implementation of a reference architecture for creating information systems from the automated evolution of the domain model. The architecture comprises elements that guarantee user access through automatically generated interfaces for various devices, integration with external information sources, data and operations security, automatic generation of analytical information, and automatic control of business processes. All these features are generated from the domain...
    Downloads: 0 This Week
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  • 13
    Grenade

    Grenade

    Deep Learning in Haskell

    Grenade is a composable, dependently typed, practical, and fast recurrent neural network library for concise and precise specifications of complex networks in Haskell. Because the types are so rich, there's no specific term level code required to construct this network; although it is of course possible and easy to construct and deconstruct the networks and layers explicitly oneself. Networks in Grenade can be thought of as a heterogeneous list of layers, where their type includes not only...
    Downloads: 0 This Week
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