1327 Open source projects that are alternatives of or similar to Tensornets

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Classification models trained on ImageNet. Keras.

Computer vision based ML training data generation tool 🚀

Tensorflow Faster RCNN for Object Detection

🍅 Deploy NCNN on mobile phones. Support Android and iOS. 移动端NCNN部署，支持Android与iOS。

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB🔥🔥🔥

Implementation of popular deep learning networks with TensorRT network definition API

Computer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection

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

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

YOLO3 动漫人脸检测 (Based on keras and tensorflow) 2019-1-19

This project aims to count every vehicle (motorcycle, bus, car, cycle, truck, train) detected in the input video using YOLOv3 object-detection algorithm.

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2 https://github.com/AlexeyAB/darknet, https://github.com/pjreddie/darknet

Object localization in images using simple CNNs and Keras

Yolov3 Object Detection implemented as APIs, using TensorFlow and Flask

YoloV3 Implemented in Tensorflow 2.0

🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.

A Python wrapper on Darknet. Compatible with YOLO V3.

yolov3 by pytorch

reproduce the YOLO series of papers in pytorch, including YOLOv4, PP-YOLO, YOLOv5，YOLOv3, etc.

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

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.

Repository for Single Shot MultiBox Detector and its variants, implemented with pytorch, python3.

🙄 Difficult algorithm, Simple code.

Simpler app for tensorflow object detection API

Multiple Object Tracking System in Keras + (Detection Network - YOLO)

No description or website provided.

Train a state-of-the-art yolov3 object detector from scratch!

TensorFlow implementation of Faster RCNN for Object Detection

Computer vision library for wildfire detection

convert mmdetection model to tensorrt, support fp16, int8, batch input, dynamic shape etc.

A list of popular deep learning models related to classification, segmentation and detection problems

Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

This repository provides you with a easy to use labeling tool for State-of-the-art Deep Learning training purposes.

记录每一个常用的深度模型结构的特点（图和代码）

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

Annotation tool for YOLO in opencv

Full implementation of YOLOv3 in PyTorch

PyTorch implementation of DeepDream algorithm

A real-time object detection app based on lightDenseYOLO Our lightDenseYOLO is the combination of two components: lightDenseNet as the CNN feature extractor and YOLO v2 as the detection module

People detection and optional tracking with Tensorflow backend.

A caffe implementation of MobileNet-YOLO detection network

RM Operation can equivalently convert ResNet to VGG, which is better for pruning; and can help RepVGG perform better when the depth is large.

yolo3 implement by tensorflow， including mobilenet_v1, mobilenet_v2

yolo(all versions) implementation in keras and tensorflow 2.4

A collection of deep learning models (PyTorch implemtation)

C# Yolo Darknet Wrapper (real-time object detection)

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Various CNN models for CIFAR10 with Chainer

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

用python做计算机视觉，人工智能，机器学习，深度学习等

A PyTorch implementation of the YOLO v3 object detection algorithm

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

🔥Improve yolo with latest paper