Pytorch2kerasPyTorch to Keras model convertor
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Pinto model zooA repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]
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pytorch2kerasPyTorch to Keras model convertor
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DeepoSetup and customize deep learning environment in seconds.
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TractTiny, no-nonsense, self-contained, Tensorflow and ONNX inference
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Math object detectionAn image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.
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OnnxruntimeONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
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Pytorch Onnx TensorrtA set of tool which would make your life easier with Tensorrt and Onnxruntime. This Repo is designed for YoloV3
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Gen Efficientnet PytorchPretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS
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TranslateTranslate - a PyTorch Language Library
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MmdnnMMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
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AgenderReal-time estimation of gender and age
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Generative Adversarial NetworksIntroduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs
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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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Onnx RR Interface to Open Neural Network Exchange (ONNX)
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VisualdlDeep Learning Visualization Toolkit(『飞桨』深度学习可视化工具 )
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Pytorch face landmarkFast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up to 100 FPS landmark inference speed with SOTA face detector on CPU.
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Yolov3YOLOv3 in PyTorch > ONNX > CoreML > TFLite
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Multi Model ServerMulti Model Server is a tool for serving neural net models for inference
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The Third EyeAn AI based application to identify currency and gives audio feedback.
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Onnx TensorrtONNX-TensorRT: TensorRT backend for ONNX
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Mlnet WorkshopML.NET Workshop to predict car sales prices
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NeomlMachine learning framework for both deep learning and traditional algorithms
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Tf DannDomain-Adversarial Neural Network in Tensorflow
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Onnx tflite yolov3A Conversion tool to convert YOLO v3 Darknet weights to TF Lite model (YOLO v3 PyTorch > ONNX > TensorFlow > TF Lite), and to TensorRT (YOLO v3 Pytorch > ONNX > TensorRT).
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OnnxmltoolsONNXMLTools enables conversion of models to ONNX
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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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AndroidtensorflowmnistexampleAndroid TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)
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CppflowRun TensorFlow models in C++ without installation and without Bazel
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Gluon2pytorchGluon to PyTorch deep neural network model converter
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DistillerNeural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
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KelnerServe your models
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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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MivisionxMIVisionX 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.
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NgraphnGraph has moved to OpenVINO
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Seq2annotation基于 TensorFlow & PaddlePaddle 的通用序列标注算法库(目前包含 BiLSTM+CRF, Stacked-BiLSTM+CRF 和 IDCNN+CRF,更多算法正在持续添加中)实现中文分词(Tokenizer / segmentation)、词性标注(Part Of Speech, POS)和命名实体识别(Named Entity Recognition, NER)等序列标注任务。
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