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

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

📄 Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).

Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)

Tensorflow implementation for paper: Learning to Compare: Relation Network for Few-Shot Learning.

awesome few shot / meta learning papers

[IJCAI 2021] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation

Awesome Few-shot learning

Finetuning any DNN for better embedding on neural search tasks

PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"

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

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.

Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

Official repository of https://arxiv.org/abs/2111.04040v1

Learning To Compare For Text , Few shot learning in text classification

FSL-Mate: A collection of resources for few-shot learning (FSL).

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

Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning

Sandbox for training deep learning networks

NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch

A script in python to organize your images by similarity.

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

finetune bert for small dataset text classification in a few-shot learning manner using ProtoNet

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

A machine learning experiment

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

A UI tool for quickly training image classifiers in the browser

A specially designed light version of Fast AutoAugment

Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"

AFPlan is an architectural floor plan analysis and recognition system to create extended plans for building services.

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

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

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

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.

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

IdenProf dataset is a collection of images of identifiable professionals. It is been collected to enable the development of AI systems that can serve by identifying people and the nature of their job by simply looking at an image, just like humans can do.

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

📖 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.

A TensorFlow implementation of Group Normalization on the task of image classification

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

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

ML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.

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

Real time image classification with React Native and Tensorflow lite.

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Impementation of MobileNetV2 in pytorch

Image classification for everyone.

A smart album for Android which use tensorflow to classify images

🔥🔥NSFW implement in pytorch（色情图&性感图识别，本程序经过了线上大数据集测试，性能优异效果良好）🔥🔥

Deep learning codes and projects using Python

A curated list of deep learning image classification papers and codes

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

A short tutorial on performing fine tuning or transfer learning in PyTorch.

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

Bridging the gap Between Stability and Scalability in Neural Architecture Search

🐰 Python lib for remo - the app for annotations and images management in Computer Vision

Nudity detection with JavaScript and HTMLCanvas

CNN image classifier implemented in Keras Notebook 🖼️.