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Nn builder is a python package that lets you build neural networks in 1 line.
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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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Support Vector Machine for Node.js.
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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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Fujitsu Research's post-training quantization pipeline for LLMs (QEP, AutoBit, JointQ, rotation) with vLLM plugin (arXiv:2603.28845).
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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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An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning in Scala (3).
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A library that enables training PyTorch models with differential privacy.
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A list of open LLMs available for commercial use.
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Open platform for operating large language models (LLMs) in production. Fine-tune, serve, deploy, and monitor any LLMs with ease.
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A PyTorch-based framework to train and validate the models producing high-quality embeddings.
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A real-time multi-person keypoint detection library for body, face, hands, and foot estimation.
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On-device voice dictation for macOS — transcribes a 5-minute clip in 2.8 s; noise-robust, paste at cursor. 99 languages, ~8 MB, no telemetry. MIT.
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Gitingest - Turn any Git repository into a simple text digest of its codebase so it can be fed into any LLM.
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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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An optimization library for Torch. SGD, Adagrad, Conjugate-Gradient, LBFGS, RProp and more.
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Google TPU optimizations for transformers models.
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Python-based meta-heuristic optimization techniques.
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Resource scheduling and cluster management for AI.
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Swift Language Bindings of TensorFlow. Using native TensorFlow models on both macOS / Linux.
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An app and guide to easily configure Windows, Linux, MacOS, Google TV, Stremio, Home Assistant and more (including WSL2, GPU drivers & development tools). Improve your UX & productivity.
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A Julia framework for probabilistic graphical models.
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Python library for working with Probabilistic Graphical Models.