404 Open source projects that are alternatives of or similar to meta-learning-progress

Awesome Multitask Learning Resources

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

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

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

resource collection for transfer learning!

《迁移学习简明手册》LaTex源码

IJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo

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

Python Meta-Feature Extractor package.

Meta learning with BERT as a learner

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

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

Implementation of many transfer learning algorithms in Python with Jupyter notebooks

[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)

Library of transfer learners and domain-adaptive classifiers.

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

Cross-domain NER using cross-domain language modeling, code for ACL 2019 paper

A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance

code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"

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

Awesome Domain Adaptation Python Toolbox

Deep Transfer Learning Papers

Transfer-Learning-Library

( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

A collection of AWESOME things about domian adaptation

Adapt Transformer-based language models to new text domains

Central Moment Discrepancy for Domain-Invariant Representation Learning (ICLR 2017, keras)

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

ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation (CVPR20)

Python toolbox for transfer learning.

code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"

My solutions to the projects assigned for the Udacity Computer Vision Nanodegree

Protein Language Model

Code for the paper: "SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification"

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

Code and datasets for EMNLP2018 paper ‘‘Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification’’.

Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"

Real-time AI-powered translation of American sign language to text

Official implementation of Meta-StyleSpeech and StyleSpeech

Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

A Simple but Powerful CNN Trainer For PyTorch

Awesome Graph Self-Supervised Learning

Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning (EMNLP'19)

A multi agent path planning solution under a warehouse scenario using Q learning and transfer learning.🤖️

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

Tensorflow implementation of Semi-supervised Sequence Learning (https://arxiv.org/abs/1511.01432)

This repository contains code for the O'Reilly Live Online Training for BERT

Implementation of ULMFit algorithm for text classification via transfer learning

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)

[AAAI 2020] Code release for "Domain Conditioned Adaptation Network" https://arxiv.org/abs/2005.06717

Scripts utilizing Heartex platform to build brand sentiment analysis from the news

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

✂️ Automated high-quality background removal framework for an image using neural networks. ✂️

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

tensorflow object detection api helper tool ( custom object detection )

Dialogue Knowledge Transfer Networks (DiKTNet)

Tensorflow Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours.

Implementatoin of object detection using Tensorflow 2.1.0 | this can be use in a car for object detection

CNN histopathologic tumor identifier.

Official Implementation of "Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers"