Visualizer for neural network, deep learning and machine learning models
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Updated
May 29, 2024 - JavaScript
Visualizer for neural network, deep learning and machine learning models
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Java version of LangChain
The Qualcomm® AI Hub Models are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
A very simple script that only initializes the batch size of ONNX. Simple Batchsize Initialization for ONNX.
Very simple NCHW and NHWC conversion tool for ONNX. Change to the specified input order for each and every input OP. Also, change the channel order of RGB and BGR. Simple Channel Converter for ONNX.
A very simple tool to rewrite parameters such as attributes and constants for OPs in ONNX models. Simple Attribute and Constant Modifier for ONNX.
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.
A complete(grpc service and lib) Rust inference with multilingual embedding support. This version leverages the power of Rust for both GRPC services and as a standalone library, providing highly efficient text and image embeddings.
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Speech-to-text, text-to-speech, and speaker recongition using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, C/C++, Python, Kotlin, C#, Go, NodeJS, Java, Swift
Samples and Tools for Windows ML.
TTS for Arabic (FastPitch) in the ONNX format
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