484 Open source projects that are alternatives of or similar to LibFewShot

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

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

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

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

An easy to use C# deep learning library with CUDA/OpenCL support

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

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

Serving PyTorch models with TorchServe 🔥

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

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

🍎 My own face recognition with deep neural networks.

A Keras implementation of MobileNetV3.

Object classification with CIFAR-10 using transfer learning

Implementation of Quickdraw - an online game developed by Google

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

[ICLR2022] official implementation of UniFormer

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

Image annotation tool to make Machine Learning or others stuffs

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

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

IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.

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

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

PyTorch implementation of shake-drop regularization

Differentiable architecture search for convolutional and recurrent networks

image classifier, retrained for specific classes

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

Chrome browser extension for using TensorFlow image recognition on web pages

Experiments with Mobile

Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.

detect stages in video automatically

Code for the paper "Evolved Policy Gradients"

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

Python module to interface with OpenML

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

Object Recognition using TensorFlow and Java

Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)

A Keras implementation of MobileNetV2.

NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

📖 This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.

Learning to Learn how to Learn: Self-Adaptive Visual Navigation using Meta-Learning (https://arxiv.org/abs/1812.00971)

Keras implementation of a ResNet-CAM model

Learning Meta Face Recognition in Unseen Domains, CVPR, Oral, 2020

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

pytorch implementation of Optimization as a Model for Few-shot Learning

A library for transfer learning by reusing parts of TensorFlow models.

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)

Block-wisely Supervised Neural Architecture Search with Knowledge Distillation (CVPR 2020)

No description or website provided.

Experience, Learn and Code the latest breakthrough innovations with Microsoft AI

Classifying the Blur and Clear Images

A collection of SOTA Image Classification Models in PyTorch

Labelbox is the fastest way to annotate data to build and ship computer vision applications.

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

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