TransferlearningTransfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
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KD3AHere is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".
Stars: ✭ 63 (-90.71%)
pykaleKnowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem
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meta-learning-progressRepository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.
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BA3UScode for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"
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Pytorch RetrainingTransfer Learning Shootout for PyTorch's model zoo (torchvision)
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transfertoolsPython toolbox for transfer learning.
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Ddc Transfer LearningA simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance
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Filipino-Text-BenchmarksOpen-source benchmark datasets and pretrained transformer models in the Filipino language.
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Awesome Transfer LearningBest transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
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Clan( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation
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Cross Domain nerCross-domain NER using cross-domain language modeling, code for ACL 2019 paper
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LibtldaLibrary of transfer learners and domain-adaptive classifiers.
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SHOT-pluscode for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"
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Shotcode released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"
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TA3N[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)
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Seg UncertaintyIJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo
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cmdCentral Moment Discrepancy for Domain-Invariant Representation Learning (ICLR 2017, keras)
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Meta-SelfLearningMeta Self-learning for Multi-Source Domain Adaptation: A Benchmark
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adaptAwesome Domain Adaptation Python Toolbox
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Rpc Benchmarkjava rpc benchmark, 灵感源自 https://www.techempower.com/benchmarks/
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CeleroC++ Benchmark Authoring Library/Framework
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Rspec BenchmarkPerformance testing matchers for RSpec
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Caliper A blockchain benchmark framework to measure performance of multiple blockchain solutions https://wiki.hyperledger.org/display/caliper
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AsvAirspeed Velocity: A simple Python benchmarking tool with web-based reporting
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ProphilerPHP Profiler & Developer Toolbar (built for Phalcon)
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Completely Unscientific BenchmarksNaive performance comparison of a few programming languages (JavaScript, Kotlin, Rust, Swift, Nim, Python, Go, Haskell, D, C++, Java, C#, Object Pascal, Ada, Lua, Ruby)
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Awesome Bert NlpA curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.
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MosesMolecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
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Meta Transfer LearningTensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
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FrameworkbenchmarksSource for the TechEmpower Framework Benchmarks project
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EasytransferEasyTransfer is designed to make the development of transfer learning in NLP applications easier.
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Sympact🔥 Stupid Simple CPU/MEM "Profiler" for your JS code.
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NanobenchSimple, fast, accurate single-header microbenchmarking functionality for C++11/14/17/20
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Tf DannDomain-Adversarial Neural Network in Tensorflow
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SmacSMAC: The StarCraft Multi-Agent Challenge
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DeepdriveDeepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
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Video ClassificationTutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
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ModelsgenesisOfficial Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019
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XlearnTransfer Learning Library
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CistaSimple C++ Serialization & Reflection.
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PyperformancePython Performance Benchmark Suite
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Dannpytorch implementation of Domain-Adversarial Training of Neural Networks
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AgooA High Performance HTTP Server for Ruby
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AdaptsegnetLearning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
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Web FrameworksWhich is the fastest web framework?
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TrainyourownyoloTrain a state-of-the-art yolov3 object detector from scratch!
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BlurtestandroidThis is a simple App to test some blur algorithms on their visual quality and performance.
Stars: ✭ 396 (-41.59%)