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A framework for elegantly configuring complex applications.
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Julia-language backend combined with the Jupyter interactive environment.
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Jupyter notebook is a web-based notebook environment for interactive computing.
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Lifelines is a complete survival analysis library, written in pure Python.
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Lightly is a computer vision framework for self-supervised learning.
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A comprehensive toolkit to build Machine Learning applications with Rust.
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JARVIS, a system to connect LLMs with ML community.
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OpenAI compatible API for LLMs and embeddings (LLaMA, Vicuna, ChatGLM and many others).
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Natural Language processing in the browser.
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This package provides graphical computation for nn library in Torch7.
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A completely unstable and experimental package that extends Torch's builtin nn library.
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Serve Llama 2 and other large language models locally from command line or through a browser interface.
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Compiler technology to transform a valid Open Neural Network Exchange (ONNX) graph into code that implements the graph with minimum runtime support.
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A list of open LLMs available for commercial use.
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Source code for Toxic Comment Classification Challenge.
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Jan - Run LLMs like Mistral or Llama2 locally and offline on your computer, or connect to remote AI APIs.
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A complete object-oriented environment for machine learning in Matlab.
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Use AutoML to do model compression.
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A PyTorch-Based Framework for Deep Learning in Computer Vision.
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Deep learning based facial detector for Python coming with facial landmarks.
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Pure-Rust tokenizer for GGUF models, compatible with llama.cpp tokenization.
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AI-generated visualization prototyping and editing platform, support 2D, 3D models, combined with LLM(Large Language Model) for quick editing.
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Text Retrieval and Annotation Toolkit, definitely the most comprehensive toolkit I’ve encountered so far for Ruby.
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Minimize LLM token complexity to save API costs and model computations.