Cross-platform, customizable ML solutions for live and streaming media.
- mediapipe
- c-plus-plus
- computer-vision
- deep-learning
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Cross-platform, customizable ML solutions for live and streaming media.
Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, RK NPU, Axera NPU, Ascend NPU, x86_64 servers, websocket server/client, support 12 programming languages
Unsupervised text tokenizer for Neural Network-based text generation.
Open-source library of optimized deep learning operations (matmul, convolution, attention) for CPUs (x64, AArch64, RISC-V) and Intel GPUs. Used by PyTorch, TensorFlow, OpenVINO, and ONNX Runtime.
Annotate quickly images.
Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
Thin, unified, C++-flavored wrappers for the CUDA APIs
oneAPI Data Analytics Library (oneDAL)
Implementation of the superpixel algorithm called SEEDS [1].
Header-only C++11 library using OpenCV for high-throughput image-based plant phenotyping