Visualizer for neural network, deep learning and machine learning models
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
Se Qing Tu Pian Chi Xian Shi Bie ,Ji Yu TensorFlowShi Xian . Shi Bie Zhi Xu 20ms,Ke Duan Wang Ce Shi ,Cheng Gong Lu 99%,Diao Yong Zhi Yao Yi Xing Dai Ma ,Cong Ya Hu De Kai Yuan Xiang Mu open_nsfwYi Zhi ,Gai Mo Xing Wen Jian Ke Yong Yu iOS, java, C++Deng Ping Tai
A fully open source cross-platform diary app written by flutter and rust.
Faking your webcam background under GNU/Linux, now supports background blurring, animated background, colour map effect, hologram effect and on-demand processing.
DELTA is a deep learning based natural language and speech processing platform. LF AI & DATA Projects: https://lfaidata.foundation/projects/delta/
An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.
The challenge projects for Inferencing machine learning models on iOS
High-performance TensorFlow Lite library for React Native with GPU acceleration
TensorFlow Lite Samples on Unity
Qualcomm(r) AI Hub Models is our collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm(r) devices.
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.
Android TensorFlow Lite Machine Learning Example
Real-time portrait segmentation for mobile devices
GPU accelerated deep learning inference applications for RaspberryPi / JetsonNano / Linux PC using TensorflowLite GPUDelegate / TensorRT
DistilBERT / GPT-2 for on-device inference thanks to TensorFlow Lite with Android demo apps
State-of-the-art (ranked #1 Aug 2022) German Speech Recognition in 284 lines of C++. This is a 100% private 100% offline 100% free CLI tool.
Sample projects for TensorFlow Lite in C++ with delegates such as GPU, EdgeTPU, XNNPACK, NNAPI
The Qualcomm(r) AI Hub apps are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm(r) devices.
Dual Edge TPU Adapter to use it on a system with single PCIe port on m.2 A/B/E/M slot
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