2557 Open source projects that are alternatives of or similar to Bmw Tensorflow Training Gui

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.

This is a repository for an object detection inference API using the Tensorflow framework.

This is a repository for an object detection inference API using the Tensorflow framework.

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This is a repository for an nocode object detection inference API using the Yolov4 and Yolov3 Opencv.

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A paper list of object detection using deep learning.

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Learn OpenCV : C++ and Python Examples

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

🙄 Difficult algorithm, Simple code.

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

This is a list of awesome articles about object detection from video.

Deep learning codes and projects using Python

Label images and video for Computer Vision applications

⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

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This is a repository for an nocode object detection inference API using the Yolov3 and Yolov4 Darknet framework.

DeepFaceLab is the leading software for creating deepfakes.

Code for the CVPR 2020 paper "A Multi-task Mean Teacher for Semi-supervised Shadow Detection"

Train AI (Keras + Tensorflow) to defend apps with Django REST Framework + Celery + Swagger + JWT - deploys to Kubernetes and OpenShift Container Platform

A Python package for geometric transformations of images for data augmentation in deep learning

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

yolo(all versions) implementation in keras and tensorflow 2.4

Video Platform for Action Recognition and Object Detection in Pytorch

NVIDIA DeepStream SDK 5.1 configuration for YOLO models

thor: C++ helper library, for deep learning purpose

An Unsupervised Learning Framework for Moving Object Detection From Videos

Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.

NeuPy is a Tensorflow based python library for prototyping and building neural networks

SWA Object Detection

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

No description or website provided.

This is a repository for a No-Code object detection inference API using the OpenVINO. It's supported on both Windows and Linux Operating systems.

ML Research paper summaries, annotated papers and implementation walkthroughs

Machine Learning Environment - alpha version

Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

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

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Deep Learning Projects that Build Themselves

Gorgonia is a library that helps facilitate machine learning in Go.

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

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

This is tensorflow implementation for cvpr2017 paper "Deeply Supervised Salient Object Detection with Short Connections"

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Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

A one-stop repository for low-code easily-installable object detection pipelines.

YoloV3/tiny-YoloV3+RaspberryPi3/Ubuntu LaptopPC+NCS/NCS2+USB Camera+Python+OpenVINO