315 Open source projects that are alternatives of or similar to Meta Transfer Learning

Repository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.

Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem

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

Awesome Multitask Learning Resources

This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising"(KDD2021).

Personalizing Dialogue Agents via Meta-Learning

Transfer learning for time series classification

Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms

PyTorch implementation of "Pyramid Scene Parsing Network".

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

Awesome Domain Adaptation Python Toolbox

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

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

NLP library designed for reproducible experimentation management

No description or website provided.

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

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

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

No description or website provided.

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

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

resources for the IBM Airlines Table-Question-Answering Benchmark

This repository implements the paper, Model-Agnostic Meta-Leanring for Fast Adaptation of Deep Networks.

FPGA Deployable Fire Detection Model for Real-Time Video Surveillance Systems Using Convolutional Neural Networks

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

One Person, One Model, One World: Learning Continual User Representation without Forgetting

A comprehensive list of awesome contrastive self-supervised learning papers.

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

AutoGluon: AutoML for Text, Image, and Tabular Data

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

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

[CVPR 2020 VL3] The repository for meta fine-tuning in cross-domain few-shot learning.

和（he for objective-c） —— “信息熵减机系统”

Open-source benchmark datasets and pretrained transformer models in the Filipino language.

Train a state-of-the-art yolov3 object detector from scratch!

Link of ML papers to their blogs/ supplementary material

Learning to Cluster. A deep clustering strategy.

REVOLVER - Repeated Evolution in Cancer

BERT-NER (nert-bert) with google bert https://github.com/google-research.

(AAAI2020)Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing

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 algorithm TrAdaboost,coded by python

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

Finetuning any DNN for better embedding on neural search tasks

Implementation of "Make One-Shot Video Object Segmentation Efficient Again” and the semi-supervised fine-tuning "e-OSVOS" approach (NeurIPS 2020).

Alzheimer's Disease Prediction by using ResNet, AlexNet

Deep Learning Computer Vision Algorithms for Real-World Use

Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".

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

Code for: "Learning To Adapt For Stereo" accepted at CVPR2019

🔭 Speaker diarization via transfer learning

A set of deep learning models for FRB/RFI binary classification.

Materials of the AI Journey 2020 competition dedicated to the recognition of Peter the Great's manuscripts, https://ai-journey.ru/contest/task01

Source code for CVPR 2020 paper "Scene-Adaptive Video Frame Interpolation via Meta-Learning"

Chest Xray image analysis using Deep learning !

code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"

6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"

A Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework

Meta graph convolutional neural network-assisted resilient swarm communications

Official Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019