Visualizer for neural network, deep learning and machine learning models
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Updated
May 18, 2024 - JavaScript
Visualizer for neural network, deep learning and machine learning models
Efficient CPU/GPU/Vulkan ML Runtimes for VapourSynth (with built-in support for waifu2x, DPIR, RealESRGANv2/v3, Real-CUGAN, RIFE, SCUNet and more!)
MIVisionX toolkit is a set of comprehensive computer vision and machine intelligence libraries, utilities, and applications bundled into a single toolkit. AMD MIVisionX also delivers a highly optimized open-source implementation of the Khronos OpenVX™ and OpenVX™ Extensions.
🍷 Gracefully claim weekly free games and monthly content from Epic Store.
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
UniSim is a package for efficient similarity computation, fuzzy matching, and clustering of data.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
Open standard for machine learning interoperability
🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools
Java version of LangChain
🤗 Optimum Intel: Accelerate inference with Intel optimization tools
A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
ONNXMLTools enables conversion of models to ONNX
ONNX Runtime bindings for Elixir
《Pytorch实用教程》(第二版)无论是零基础入门,还是CV、NLP、LLM项目应用,或是进阶工程化部署落地,在这里都有。相信在本书的帮助下,读者将能够轻松掌握 PyTorch 的使用,成为一名优秀的深度学习工程师。
Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't need a Star, but give me a pull request.
Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference
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