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

Deep Transfer Learning Papers

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

A collection of AWESOME things about domian adaptation

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

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

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

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

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

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

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

Transfer-Learning-Library

Awesome Domain Adaptation Python Toolbox

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

Library of transfer learners and domain-adaptive classifiers.

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

Implementation of many transfer learning algorithms in Python with Jupyter notebooks

《迁移学习简明手册》LaTex源码

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

resource collection for transfer learning!

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

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.

Python toolbox for transfer learning.

Adapt Transformer-based language models to new text domains

Awesome Multitask Learning Resources

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

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

🦄 State-of-the-Art Conversational AI with Transfer Learning

[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains

Almost any Image classification problem using pytorch

Hierarchical Attention Transfer Network for Cross-domain Sentiment Classification (AAAI'18)

Multinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)

Open Toolkit for Painless Object Detection

This Repository contains all tensorflow tutorials.

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

Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

jiant is an NLP toolkit

A PyTorch Detectron codebase for domain adaptation of object detectors.

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

Object classification with CIFAR-10 using transfer learning

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Implementation of "SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses"

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

Tensorflow Implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks

tensorflow deep RL for driving a rover around

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

PyTorch codebase for zero-shot dialog generation SIGDIAL 2018, It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

一些关于机器学习的学习资料与研究介绍

Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"

Reinforcement Learning and Transfer Learning based StarCraft Micromanagement

Neural Paiters

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

Awesome Resources for Advanced Computer Vision Topics

国内首个迁移学习赛题 中国平安前海征信“好信杯”迁移学习大数据算法大赛 FInSight团队作品(算法方案排名第三)

🔤 Calculate average word embeddings (word2vec) from documents for transfer learning

🔍 Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.

Applying NLP transfer learning techniques to predict Tweet stance

Meta learning with BERT as a learner

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

Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation