944 Open source projects that are alternatives of or similar to Mxnet.sharp

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

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TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

Mask-RCNN implementation in MXNet

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Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.

在 oxford hand 数据集上对 YOLOv3 做模型剪枝（network slimming）

MMdnn 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.

face detection and alignment with mtcnn

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Open standard for machine learning interoperability

Real-time Anchor-Free Instance Segmentation, in CVPR 2020

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Keras implementation of yolo v3 object detection.

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🏀🤖🏀 AI web app and API to analyze basketball shots and shooting pose.

A Pytorch implementation of Global Self-Attention Network, a fully-attention backbone for vision tasks

猫狗大战

Review on Object Detection Metrics: 14 object detection metrics including COCO's and PASCAL's metrics. Supporting different bounding box formats.

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An AI based application to identify currency and gives audio feedback.

(Pretrained weights provided) EfficientDet: Scalable and Efficient Object Detection implementation by Signatrix GmbH

kaggle Dog Breed Identification

I transfer the backend of yolov3 into Mobilenetv1，VGG16，ResNet101 and ResNeXt101

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An all-in-one Deep Learning toolkit for image classification to fine-tuning pretrained models using MXNet.

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A collection of Audio and Speech pre-trained models.

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.

CenterNet: Objects as Points in Tensorflow

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Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

A Python wrapper on Darknet. Compatible with YOLO V3.

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High level network definitions with pre-trained weights in TensorFlow

FCOS: Fully Convolutional One-Stage Object Detection.

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This repository contains easy SSD(Single Shot MultiBox Detector) implemented with Pytorch and is easy to read and learn