308 Open source projects that are alternatives of or similar to Libtlda

resource collection for transfer learning!

Deep Transfer Learning Papers

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

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

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

Transfer-Learning-Library

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

Awesome Multitask Learning Resources

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

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

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

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

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.

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

Adapt Transformer-based language models to new text domains

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

Implementation of many transfer learning algorithms in Python with Jupyter notebooks

A collection of AWESOME things about domian adaptation

《迁移学习简明手册》LaTex源码

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

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

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

Python toolbox for transfer learning.

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

Awesome Domain Adaptation Python Toolbox

Keras implementation of BERT with pre-trained weights

Skin cancer classification using Inceptionv3

Code of Gradually Vanishing Bridge for Adversarial Domain Adaptation (CVPR2020)

PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks

Official Pytorch implementation of CutMix regularizer

Transfer Learning Toolkit for Primary Researchers

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

Repository of code for the tutorial on Transfer Learning in NLP held at NAACL 2019 in Minneapolis, MN, USA

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

tensorflow deep RL for driving a rover around

Automatic feature extraction and node role assignment for transfer learning on graphs (ReFeX & RolX)

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Federated Learning Library: https://fedml.ai

self-supervised domain adaptation

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

EasyTransfer is designed to make the development of transfer learning in NLP applications easier.

Domain-Adversarial Neural Network in Tensorflow

High Quality Monocular Depth Estimation via Transfer Learning

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

NLP Paper

🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

Neural Paiters

Deep-learning seismic facies on state-of-the-art CNN architectures

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

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

Gradients as Features for Deep Representation Learning

Transfer Learning Library

pytorch implementation of Domain-Adversarial Training of Neural Networks

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

Repository of the paper "Generalizing Person Re-Identification by Camera-Aware Instance Learning and Cross-Domain Mixup"

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