2654 Open source projects that are alternatives of or similar to Cv Pretrained Model

Một cuốn sách tương tác về học sâu có mã nguồn, toán và thảo luận. Đề cập đến nhiều framework phổ biến (TensorFlow, Pytorch & MXNet) và được sử dụng tại 175 trường Đại học.

Yet Another MXnet DETection

📖 This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.

Tool that can parse Go files into an abstract syntax tree and translate it to several programming languages.

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Spleeter is Deezer source separation library with pretrained models written in Python and uses Tensorflow. It makes it easy to train source separation model (assuming you have a dataset of isolated sources), and provides already trained state of the art model for performing various flavour of separation :

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

The purpose of this project is to share knowledge on how awesome Streamlit is and can be

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

Data Annotation, Data Labeling, Annotation Tooling, Training Data for Machine Learning

Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

ECCV 2020 论文开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2020开源项目

A collection of Natural language processing pre-trained models.

Typegoose - Define Mongoose models using TypeScript classes.

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

Deep learning codes and projects using Python

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

优雅的主题管理库- 一行代码完成多样式切换

Experience, Learn and Code the latest breakthrough innovations with Microsoft AI

A photo OCR project aims to output DMS messages contained in sign structure images.

Clean and simple gem downloads count badge, courtesy of http://shields.io/. You can checkout the application directly at the following URL:

A collection of notebooks of my Machine Learning class written in python 3

brief introduction to Python for machine learning

A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS

A python package for plotting animated and interactive bubble charts using Plotly

потоковый курс "Машинное обучение и анализ данных (Machine Learning and Data Mining)" на факультете ВМК МГУ имени М.В. Ломоносова

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

Relief Based Algorithms of ReBATE implemented in Python with Cython optimization. This repository is no longer being updated. Please see scikit-rebate.

🦉Data Version Control | Git for Data & Models | ML Experiments Management

Pepper Programs : Object Detection Real Time without ROS

✂️Automatically determine where to crop a circular image out of a rectangular.

Analytical Models of the Performance of C-V2X Mode 4 Vehicular Communications

Automatically optimize (compress) all images used in Nuxt.js

Open Machine Learning Course

Gluon implementation of "Objects as Points", aka "CenterNet"

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

ML.NET Workshop to predict car sales prices

OpenMMLab's next-generation platform for general 3D object detection.

A Julia machine learning framework

🎨 Generate image resources in Swift

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Elegant photo browser in Swift. 图片与视频浏览器。

Convert any classification model or architecture trained in keras to an object detection model

MDCS is an acronym for Mosaic Dataset Configuration Script and is the entry point to a collection of Python classes/libraries that could be consumed by a Python client application to complete a given workflow for creating a mosaic dataset, populating it with data, and setting all required/desired parameters.

An Unsupervised Graph-based Toolbox for Fraud Detection

simple tools for data cleaning in R

A List of Data Science/Machine Learning Resources (Mostly Free)

The code of our paper: 'Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples', in Tensorflow.

I was once asked about transitioning to a career in data science by three different UChicago grad students over a short period of time, so I decided to put together this outline in case anyone else was curious.

课题组每周研讨会

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Open solution to the Santander Value Prediction Challenge 🐠

Image Retrieval Experiment Using Triplet Loss