113 Open source projects that are alternatives of or similar to e-osvos

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A classified list of meta learning papers based on realm.

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

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

A list of recent papers about Meta / few-shot learning methods applied in NLP areas.

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

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The source codes of the paper "Improving Few-shot Text Classification via Pretrained Language Representations" and "When Low Resource NLP Meets Unsupervised Language Model: Meta-pretraining Then Meta-learning for Few-shot Text Classification".

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Paper Lists, Notes and Slides, Focus on NLP. For summarization, please refer to https://github.com/xcfcode/Summarization-Papers

The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].

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A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

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Memory efficient MAML using gradient checkpointing

Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.

Meta learning with BERT as a learner

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

Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"

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"Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.

Few-shot binary text classification with Induction Networks and Word2Vec weights initialization

Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"

Meta-Feature Extractor

A resource list for causality in statistics, data science and physics

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PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

Repository for few-shot learning machine learning projects

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

Automated Machine Learning with scikit-learn

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A dataset of datasets for learning to learn from few examples

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Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

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

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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

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

[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach

[CVPR 2021] MiVOS - Mask Propagation module. Reproduced STM (and better) with training code 🌟. Semi-supervised video object segmentation evaluation.