636 Open source projects that are alternatives of or similar to Groupimg

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

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

LabelD is a quick and easy-to-use image annotation tool, built for academics, data scientists, and software engineers to enable single track or distributed image tagging. LabelD supports both localized, in-image (multi-)tagging, as well as image categorization.

The "Python Machine Learning (1st edition)" book code repository and info resource

Image classification: efficientnet/resnest/seresnext/.....

Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.

Block-wisely Supervised Neural Architecture Search with Knowledge Distillation (CVPR 2020)

Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)

MATLAB library for non-negative matrix factorization (NMF): Version 1.8.1

A machine learning toolkit dedicated to time-series data

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

基于Tensorflow的常用模型，包括分类分割、新型激活、卷积模块，可在Tensorflow2.X下运行。

🐰 Python lib for remo - the app for annotations and images management in Computer Vision

Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH)

.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

AIXIjs - General Reinforcement Learning in the Browser

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

Almost any Image classification problem using pytorch

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

Labelbox is the fastest way to annotate data to build and ship computer vision applications.

A simple machine learning framework written in Swift 🤖

Facial Expression Recognition using Residual Masking Network

IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.

Lending Club Loan data analysis

🔥🔥NSFW implement in pytorch（色情图&性感图识别，本程序经过了线上大数据集测试，性能优异效果良好）🔥🔥

Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search

Bridging the gap Between Stability and Scalability in Neural Architecture Search

IdenProf dataset is a collection of images of identifiable professionals. It is been collected to enable the development of AI systems that can serve by identifying people and the nature of their job by simply looking at an image, just like humans can do.

CNN image classifier implemented in Keras Notebook 🖼️.

🤖 NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn"

Machine Learning Concepts with Concepts

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)

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

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"

implement AlexNet with C / convolutional nerual network / machine learning / computer vision

📊 Naive Bayes classifier for JavaScript

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

Data Structures and Algorithms implemented In Python, C, C++, Java or any other languages. Aimed to help strengthen the concepts of DS&A. Give a Star 🌟 if it helps you.

Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

A fast xgboost feature selection algorithm

Object classification with CIFAR-10 using transfer learning

Implementation of EfficientNet model. Keras and TensorFlow Keras.

The repository provides usefull python scripts for ML and data analysis

A high performance implementation of HDBSCAN clustering.

AutoML frAmework for Neural Networks

A curated list of applied machine learning and data science notebooks and libraries across different industries.

Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

Implementation of the model used in the paper Protest Activity Detection and Perceived Violence Estimation from Social Media Images (ACM Multimedia 2017)

A smart album for Android which use tensorflow to classify images

sources for daal4py - a convenient Python API to oneDAL

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

Deploying Keras models using TensorFlow Serving and Flask

A curated list of deep learning image classification papers and codes

AFPlan is an architectural floor plan analysis and recognition system to create extended plans for building services.

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

A machine learning experiment