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EmotionRecTrainingPython script using Keras + TensorFlow to train a custom machine learning model to recognize faces using a dataset with human faces and labeled with emotions.
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bert sabert sentiment analysis tensorflow serving with RESTful API
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Micronetmicronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape
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Php Opencvphp wrapper for opencv
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NngenNNgen: A Fully-Customizable Hardware Synthesis Compiler for Deep Neural Network
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Keras Oneclassanomalydetection[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.
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NetronVisualizer for neural network, deep learning, and machine learning models
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tensorflow-scalaA Scala binding of TensorFlow for Serving TensorFlow Models (Provides RESTful API)
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AdvboxAdvbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.
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Mobilenetv3 SsdMobileNetV3-SSD for object detection and implementation in PyTorch
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DtlnTensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.
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amdovx-modulesAMD OpenVX modules: such as, neural network inference, 360 video stitching, etc.
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NgraphnGraph has moved to OpenVINO
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go-tensorflowTools and libraries for using Tensorflow (and Tensorflow Serving) in go
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fastT5⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.
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