333 Open source projects that are alternatives of or similar to Plant_AI

No description or website provided.

Serving PyTorch models with TorchServe 🔥

Zalo AI Challenge - Music Genre Classification

A Rock-Paper-Scissors game using computer vision and machine learning on Raspberry Pi

Image annotation tool to make Machine Learning or others stuffs

Extract deep learning features from images using simple python interface

A simple logo classifier developed using Maixduino framework and PlatfomIO, to run on K210 MCU on Sipeed's Maix dev board.

A tutorial series by Preferred.AI

Modernize and Extend: JPetStore on IBM Cloud Kubernetes Service

Detecting skin cancer in encrypted images with TensorFlow

🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation. 🍞🍖🍕

Scripts for training an AI to play the endless runner Subway Surfers using a supervised machine learning approach by imitation and a convolutional neural network (CNN) for image classification

Machine Learning platform in-browser for creators

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

TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classification in deep learning.

A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

The collection of pre-trained, state-of-the-art AI models for ailia SDK

A unified program to check predictions of different convolutional neural networks for image classification.

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

A collaborative tool for labeling image data for yolo

Bottleneck Transformers for Visual Recognition

[ICLR2022] official implementation of UniFormer

Zalo AI Challenge - Landmark Identification

UI for Keras to implement image classification written in python and django

R package for generating color palettes from arbitrary images.

Organize your meme image cluster in a better format using OCR from the meme to sort them using tesseract along with editing memes by segmenting them using OpenCV within a directory

MyBB CAPTCHA Solver using Convolutional Neural Network in Keras

Implementation of Resnet-50 with and without CBAM in PyTorch v1.8. Implementation tested on Intel Image Classification dataset from https://www.kaggle.com/puneet6060/intel-image-classification.

No description or website provided.

This repository contains the OpenEmbedded meta layer to install AI frameworks and tools for the STM32MP1

VFRAME: Visual Forensics and Metadata Extraction

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

Parametric Contrastive Learning (ICCV2021)

ROS2 nodes for computer vision tasks in Tensorflow

Tool to gather main colors of an image using Unity.

PyTrx is a Python object-oriented programme created for the purpose of calculating real-world measurements from oblique images and time-lapse image series. Its primary purpose is to obtain velocities, surface areas, and distances from oblique, optical imagery of glacial environments.

本仓库将使用Pytorch框架实现经典的图像分类网络、目标检测网络、图像分割网络，图像生成网络等，并会持续更新！！！

Official implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer

The simplest machine learning library for launching UIs, running evaluations, and comparing model performance.

Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs

Tensorflow Image classifier that can predict the breed of a dog from it photo. Trained on image dataset of 5 different breed of dogs (rottweiler, bulldog, pug, german shepherds, labrador). Interestingly the classifier was able to predict the breed of the dogs even from images of their toys.

One-click image sorting/labelling script

Paper notes in deep learning/machine learning and computer vision

Easy-to-use scripts for training and inferencing with Xception on your own dataset

Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in full in this ICML 2021 paper: https://arxiv.org/abs/2102.08622.

UI for working with Deepstack

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

No description or website provided.

Concise, Modular, Human-friendly PyTorch implementation of MixNet with Pre-trained Weights.

Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the…

Deep Metric Transfer for Label Propagation with Limited Annotated Data

Implementing Billion-scale semi-supervised learning for image classification using Pytorch

Balanced Multiclass Image Classification with TensorFlow on Python.

image classification via video input, frame-by-frame

Resolver Sudoku de genina.com

Listing my favorite research papers 📝 from different fields as I read them.

AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱

MAINTAINER WANTED -- Decode embedded EXIF meta data from image files written in Pure Golang

[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL

This repository contains the dataset and the source code for the classification of food categories from meal images.