fjzzlhc

fjzzlhc's Stars

• Sba-Stuff/Monodepth-Image-To-3D-Model

  This repo integrates monodepth(v2) and depth player. First create monodepth, then 3D model.

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• yjh9929/monodepth_3d

  monodepth2 + 3d reconstruction

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• calmiLovesAI/TensorFlow2.0_ResNet

  A ResNet(ResNet18, ResNet34, ResNet50, ResNet101, ResNet152) implementation using TensorFlow-2.0.

  Language:Python325100

• JiamingMai/Color-Attenuation-Prior-Dehazing

  MATLAB codes for the paper "A Fast Single Image Haze Removal Algorithm using Color Attenuation Prior"

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• dfm/tf.interp

  Multivariate linear interpolation in TensorFlow

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• lp6m/ImageDetectionHW2

  HOG + SVM on FPGA

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• johnbensnyder/FPGA_random_forest

  FPGA implementation of SKLearn Random Forest

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• sjtrny/Dark-Channel-Haze-Removal

  MATLAB implementation of "Single Image Haze Removal Using Dark Channel Prior"

  Language:MATLAB12145

• erees1/faces-segmentation

  An experimentation with HOG features for pixel-wise semantic segmentation of faces

  Language:Jupyter Notebook31

• dk-liang/Awesome-Visual-Transformer

  Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

  3.4k399

• Eason-hung/clara-agx-colonoscopy-demo

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• mrgloom/awesome-semantic-segmentation

  :metal: awesome-semantic-segmentation

  10.5k2.5k

• Xilinx/Vitis_Libraries

  Vitis Libraries

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• Xilinx/gst-plugins-good

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• Xilinx/AI-Model-Zoo

  7521

• Xilinx/Vitis-AI

  Vitis AI is Xilinx’s development stack for AI inference on Xilinx hardware platforms, including both edge devices and Alveo cards.

  Language:Python1.5k635

• Xilinx/Vitis-AI-Tutorials

  401146

• Xilinx/Vitis-Tutorials

  Vitis In-Depth Tutorials

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• AI-performance/embedded-ai.bench

  benchmark for embededded-ai deep learning inference engines, such as NCNN / TNN / MNN / TensorFlow Lite etc.

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• Tencent/TNN

  TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

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• tensorflow/tpu

  Reference models and tools for Cloud TPUs.

  Language:Jupyter Notebook5.2k1.8k

• qubvel/efficientnet

  Implementation of EfficientNet model. Keras and TensorFlow Keras.

  Language:Python2.1k472

• xiaochus/MobileNetV3

  A Keras implementation of MobileNetV3.

  Language:Python23884

• TropComplique/knowledge-distillation-keras

  A machine learning experiment

  Language:Jupyter Notebook18253

• dkozlov/awesome-knowledge-distillation

  Awesome Knowledge Distillation

  3.5k494

• philipperemy/keras-frn

  Keras Filter Response Normalization Layer.

  Language:Python147

• LucaCappelletti94/plot_keras_history

  A simple python package to print a keras NN training history.

  Language:Python184

• eriklindernoren/Keras-GAN

  Keras implementations of Generative Adversarial Networks.

  Language:Python9.2k3.1k

• qubvel/segmentation_models

  Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

  Language:Python4.8k1k

• evil-huawei/evil-huawei

  Evil Huawei - 华为作过的恶

  Language:JavaScript8.8k643