435 Open source projects that are alternatives of or similar to Metaoptnet

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

LibFewShot: A Comprehensive Library for Few-shot Learning.

Automatic detection of defected solar panel modules

detect stages in video automatically

DropClass and DropAdapt - repository for the paper accepted to Speaker Odyssey 2020

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Differentiable architecture search for convolutional and recurrent networks

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A neural network layer that enables training of deep neural networks directly from crowdsourced labels (e.g. from Amazon Mechanical Turk) or, more generally, labels from multiple annotators with different biases and levels of expertise.

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Meta graph convolutional neural network-assisted resilient swarm communications

RMDL: Random Multimodel Deep Learning for Classification

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Implementation of Model-Agnostic Meta-Learning (MAML) applied on Reinforcement Learning problems in TensorFlow 2.

Keras implementation of a ResNet-CAM model

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This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset

Medical image processing in Python

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Awesome Multitask Learning Resources

One-shot learning for image classification using Siamese neural networks

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020

Compare SELUs (scaled exponential linear units) with other activations on MNIST, CIFAR10, etc.

# This is a image classification by VGG16 pre-trained model.#

Neural networks training pipeline based on PyTorch

2nd place solution to Kaggle's Cdiscount image classification challange.

Brevitas: quantization-aware training in PyTorch

Machine Learning (EE 5184) in NTU

C# Yolo Darknet Wrapper (real-time object detection)

Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark

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

AutoGluon: AutoML for Text, Image, and Tabular Data

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

No description or website provided.

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

No description or website provided.

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

Jupyter notebooks used as supporting material for an msc thesis about personalised aesthetic assessment using residual adapters.

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

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about how to use stagesepx in production

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Implementation of Bottleneck Transformer in Pytorch

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

Dataset of images of trash; Torch-based CNN for garbage image classification