443 Open source projects that are alternatives of or similar to caltech_birds

One-click image sorting/labelling script

PyTorch1.0 深度学习：60分钟入门与实战（Deep Learning with PyTorch: A 60 Minute Blitz 中文翻译与学习）

ROS2 nodes for computer vision tasks in Tensorflow

Example code to create and train a Pytorch model using the new C++ frontend.

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…

Final Project of the Udacity AI Programming with Python Nanodegree

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

🎒 Bag of Visual words (BoW) approach for object classification and detection in images together with SIFT feature extractor and SVM classifier.

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

A machine learning exercise, using KNN to classify deforested areas

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

PyTorch深度学习快速入门教程（绝对通俗易懂！）

UI for working with Deepstack

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

image classification via video input, frame-by-frame

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

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.

Deep Learning Applications (Darknet - YOLOv3, YOLOv4 | DeOldify - Image Colorization, Video Colorization | Face-Recognition) with Google Colaboratory - on the free Tesla K80/Tesla T4/Tesla P100 GPU - using Keras, Tensorflow and PyTorch.

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

Classifying the Blur and Clear Images

Demo code for Attention-Aware Generative Adversarial Networks paper

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.

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

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

Zalo AI Challenge - Music Genre Classification

Keras implementation of InceptionV4 Paper

A Tensorflow retrieval (space embedding) baseline. Metric learning baseline on CUB and Stanford Online Products.

采用深度学习方法进行刀具识别。

Regular Expression Counts of Terms and Substrings

.NET library to easily create Voice Command Control feature.

No description or website provided.

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

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

A simple image dataset EDA tool (CLI / Code)

Resolver Sudoku de genina.com

Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network

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

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

Etiketai is an online tool designed to label images, useful for training AI models

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

NSFW classify model implemented with tensorflow.

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

Deep Learning Bootcamp

No description or website provided.

Intelligent APIs aim to make machine learning (ML) tasks easier for UWP developers to leverage in their applications without needing ML expertise or creating a new model.

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

TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses

Awesome Pytorch Tutorials

ImVisible: Pedestrian Traffic Light Dataset, Neural Network, and Mobile Application for the Visually Impaired (CAIP '19, ICCVW'19)

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

🇰🇷파이토치에서 제공하는 튜토리얼의 한국어 번역을 위한 저장소입니다. (Translate PyTorch tutorials in Korean🇰🇷)

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.

Introduction to deep learning with Tensorflow.

Computer Graphics vs Real Photographic Images : A Deep-learning approach

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

Automatic License Plate Recognition System for Vietnamese Plates

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

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

Notebooks for Fastai Viusal Guide

A Simple Deep Neural Network to classify images made with Keras