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

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

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

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

PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features

A simple example on Image Classification in Node.js with TensorFlow.js

The easiest way to optimize Facebook Ads using Upper Confidence Bound Algorithm. 💻

A repo with tutorials for algorithms from scratch

Using Kalman Filter to Predict Corona Virus Spread

model-describer : Making machine learning interpretable to humans

Public home of pycorels, the python binding to CORELS

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

A Laravel Package/Facade for the AWS Rekognition API

Introduction to Data Science

[NeurIPS 2021] Global Filter Networks for Image Classification

A curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.

Code for our paper "Regularizing Neural Networks via Adversarial Model Perturbation", CVPR2021

Daily Dose of Neural Network that Everyone Needs

No description or website provided.

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

Pytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.

Source code for 'ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection' - Task 3 (Classification)

A repo to explain algorithm in machine learning with CHINESE

🤖 Dev tools to reliably understand text and automate conversations. Built-in NLU. Connect & deploy on any messaging channel (Slack, MS Teams, website, Telegram, etc).

To detect any reasonable change in a live cctv to avoid large storage of data. Once, we notice a change, our goal would be track that object or person causing it. We would be using Computer vision concepts. Our major focus will be on Deep Learning and will try to add as many features in the process.

A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.

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

Genie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)

Implementation of Quickdraw - an online game developed by Google

An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches

Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!

Emerging Technologies Project - 4th Year 2017

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

Teach you how to implement machine learning algorithms

📊 Naive Bayes classifier for JavaScript

GUI-based software for training, evaluating and applying deep neural nets for image classification

AI for GNU Image Manipulation Program

This repository contains notes and projects of Data scientist track from dataquest course work.

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

Image classification of wildflowers using deep residual learning and convolutional neural nets

A complete daily plan for studying to become a machine learning engineer.

This repo contains projects created using TensorFlow-Lite on Raspberry Pi and Teachable Machine. AI and ML capabilities have been integrated with Robot's software.

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

This project is to use deep learning to auto classify the scene images with limited amount of training images.

Android TensorFlow Lite Machine Learning Example

No description or website provided.

ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.

记录一些读过的论文，给出个人对论文的评分情况并简述论文insight

WTTE-RNN a framework for churn and time to event prediction

Notebooks for Fastai Viusal Guide

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

detect stages in video automatically

Food Classification with Deep Learning in Keras / Tensorflow

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

StellarGraph - Machine Learning on Graphs

An example of using Tensorflow with Unity for image classification and object detection.

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)