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

Neural Network Compression Framework for enhanced OpenVINO™ inference

Scoreboard for ONNX Backend Compatibility

ncnn is a high-performance neural network inference framework optimized for the mobile platform

Visualizer for neural network, deep learning and machine learning models

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.

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.

Web AI

🍷 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.

Java version of LangChain

InsightFace REST API for easy deployment of face recognition services with TensorRT in Docker.

🤗 Optimum Intel: Accelerate inference with Intel optimization tools

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

Streaming TTS based on Piper with optional RK3588 NPU support

《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。

Machine learning on FPGAs using HLS

Open standard for machine learning interoperability

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.