1213 Open source projects that are alternatives of or similar to classification

Catalyst.Segmentation

PyTorch extensions for fast R&D prototyping and Kaggle farming

Efficient Learning of Augmentation Policy Schedules

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

Object classification with CIFAR-10 using transfer learning

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Unofficial Implementation of ECANets (CVPR 2020) for the Reproducibility Challenge 2020.

Keras implementation of a ResNet-CAM model

Unofficial PyTorch Reimplementation of RandAugment.

Neural networks training pipeline based on PyTorch

A Julia machine learning framework

MLBox is a powerful Automated Machine Learning python library.

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

Example workflows for the drake R package

VisTrails is an open-source data analysis and visualization tool. It provides a comprehensive provenance infrastructure that maintains detailed history information about the steps followed and data derived in the course of an exploratory task: VisTrails maintains provenance of data products, of the computational processes that derive these products and their executions.

A simpler way of reading and augmenting image segmentation data into TensorFlow

Use machine learning in AppInventor, with easy training using text, images, or numbers through the Machine Learning for Kids website.

Multi-class classification with focal loss for imbalanced datasets

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

Test Time Augmentation (TTA) wrapper for computer vision tasks: segmentation, classification, super-resolution, ... etc.

An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.

Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.

Curated set of transformers that make your work with steppy faster and more effective 🔭

Open solution to the Home Credit Default Risk challenge 🏡

LAMA - automatic model creation framework

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.

Function-oriented Make-like declarative workflows for R

Sandbox for training deep learning networks

Deep learning, Convolutional neural networks, Image processing, Document processing, Table detection, Page object detection, Table classification. https://www.sciencedirect.com/science/article/pii/S0925231221018142

Short course on the targets R package

Lightweight, Python library for fast and reproducible experimentation 🔬

High-performance Vision library in Python. Scale your research, not boilerplate.

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

Accelerated deep learning R&D

Test Time image Augmentation (TTA) wrapper for Keras model.

Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

Official Implementation of 'Fast AutoAugment' in PyTorch.

Image Test Time Augmentation with PyTorch!

RMDL: Random Multimodel Deep Learning for Classification

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

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

An R-focused pipeline toolkit for reproducibility and high-performance computing

A minimal example data analysis project with the targets R package

Open solution to the Google AI Object Detection Challenge 🍁

A Python Library for Energy Profile and Abstract Grid(2D/3D) plotting

🔬 De novo assembly of nanopore reads using nextflow

ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

[NeurIPS 2021] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

No description or website provided.

A collection of SOTA Image Classification Models in PyTorch

Easily train or fine-tune SOTA computer vision models with one open source training library

A rapid http(s) benchmark tool written in Go

Our deep learning for computer vision related project for nostalgic poke weebs (Sistemi digitali, Unibo).

Vectorized Machine Learning in Python 🐍 From Scratch

HTML processing filters and utilities in Go version

Toolbox for generic NGS analyses - A framework to quickly build pipelines and to perform large-scale NGS analysis

tfa is a 2fa cli tool that aims to help you to generate 2fa code on CI/CD pipelines.

This repo introduces how to integrate Tensorflow framework into ROS with object detection API.

Loan Application Data Analysis