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

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

No description or website provided.

Code to reproduce 'Deep Learning for Decentralized Parking Lot Occupancy Detection' paper.

Supervised Classification of bird species 🐦 in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data

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

Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

Serving TensorFlow models with TensorFlow Serving 📙

A collection of SOTA Image Classification Models in PyTorch

Food classification using deep learning

Easily train an image classifier and then use it to label/tag other images

Building a Neural Network that classifies faces using OpenCV and Tensorflow

Repository to identify Lego bricks automatically only using images

Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

Python REST API to detect images with adult content

Catalyst.Classification

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

No description or website provided.

PiGallery: AI-powered Self-hosted Secure Multi-user Image Gallery and Detailed Image analysis using Machine Learning, EXIF Parsing and Geo Tagging

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

A PyTorch toolkit with 8 popular deep active learning query methods implemented.

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

Reference implementations of popular DL models missing from keras-applications & keras-contrib

Image Recognition and Information Extraction from Image Documents using Keras and Watson NLU

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

Multi-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.

ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification (CVPR 2020 VL3)

Only in native python & numpy with Keras interface

This project shows how to use CoreML and Vision with a pre-trained deep learning SSD (Single Shot MultiBox Detector) model. There are many variations of SSD. The one we’re going to use is MobileNetV2 as the backbone this model also has separable convolutions for the SSD layers, also known as SSDLite. This app can find the locations of several di…

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）

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

Final Project of the Udacity AI Programming with Python Nanodegree

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

A machine learning exercise, using KNN to classify deforested areas

PyTorch深度学习快速入门教程（绝对通俗易懂！）

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

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

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.

Classifying the Blur and Clear Images

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.

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

Keras implementation of InceptionV4 Paper

采用深度学习方法进行刀具识别。

.NET library to easily create Voice Command Control feature.

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

A simple image dataset EDA tool (CLI / Code)

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

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

NSFW classify model implemented with tensorflow.

Deep Learning Bootcamp

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.

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

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

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

Introduction to deep learning with Tensorflow.

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

All My Pytorch projects reside here

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