Showing 3 open source projects for "data driven"

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    LocalAI

    LocalAI

    Self-hosted, community-driven, local OpenAI compatible API

    Self-hosted, community-driven, local OpenAI compatible API. Drop-in replacement for OpenAI running LLMs on consumer-grade hardware. Free Open Source OpenAI alternative. No GPU is required. Runs ggml, GPTQ, onnx, TF compatible models: llama, gpt4all, rwkv, whisper, vicuna, koala, gpt4all-j, cerebras, falcon, dolly, starcoder, and many others. LocalAI is a drop-in replacement REST API that’s compatible with OpenAI API specifications for local inferencing. It allows you to run LLMs (and not...
    Downloads: 23 This Week
    Last Update:
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  • 2
    LLM.swift

    LLM.swift

    LLM.swift is a simple and readable library

    LLM.swift is a Swift package that enables developers to run Large Language Models (LLMs) directly on Apple devices, including iOS, macOS, and watchOS. By leveraging Apple's hardware and software optimizations, LLM.swift facilitates on-device natural language processing tasks, ensuring user privacy and reducing latency associated with cloud-based solutions.​
    Downloads: 2 This Week
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  • 3
    EconML

    EconML

    Python Package for ML-Based Heterogeneous Treatment Effects Estimation

    ...At the core of many data-driven personalized decision scenarios is the estimation of heterogeneous treatment effects: what is the causal effect of an intervention on an outcome of interest for a sample with a particular set of features? In a nutshell, this toolkit is designed to measure the causal effect of some treatment variable(s) T on an outcome variable Y, controlling for a set of features X, W and how does that effect vary as a function of X.
    Downloads: 0 This Week
    Last Update:
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