TransferlearningTransfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Stars: ✭ 8,481 (+6739.52%)
Naacl transfer learning tutorialRepository of code for the tutorial on Transfer Learning in NLP held at NAACL 2019 in Minneapolis, MN, USA
Stars: ✭ 687 (+454.03%)
Farm🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
Stars: ✭ 1,140 (+819.35%)
Teacher Student TrainingThis 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.
Stars: ✭ 34 (-72.58%)
TensorflowThis Repository contains all tensorflow tutorials.
Stars: ✭ 68 (-45.16%)
DeepdriveDeepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
Stars: ✭ 628 (+406.45%)
TrainyourownyoloTrain a state-of-the-art yolov3 object detector from scratch!
Stars: ✭ 399 (+221.77%)
CausalworldCausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
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PathnetTensorflow Implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks
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Jiantjiant is an NLP toolkit
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Cutmix PytorchOfficial Pytorch implementation of CutMix regularizer
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Tensorflow 101TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow
Stars: ✭ 642 (+417.74%)
Pathnet PytorchPyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks
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EasytransferEasyTransfer is designed to make the development of transfer learning in NLP applications easier.
Stars: ✭ 563 (+354.03%)
ModelsgenesisOfficial Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019
Stars: ✭ 416 (+235.48%)
Big transferOfficial repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
Stars: ✭ 1,096 (+783.87%)
Flow ForecastDeep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
Stars: ✭ 368 (+196.77%)
GraphroleAutomatic feature extraction and node role assignment for transfer learning on graphs (ReFeX & RolX)
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Awesome Transfer LearningBest transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
Stars: ✭ 1,349 (+987.9%)
DensedepthHigh Quality Monocular Depth Estimation via Transfer Learning
Stars: ✭ 963 (+676.61%)
LibtldaLibrary of transfer learners and domain-adaptive classifiers.
Stars: ✭ 71 (-42.74%)
Gradfeat20Gradients as Features for Deep Representation Learning
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Haystack🔍 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.
Stars: ✭ 3,409 (+2649.19%)
Bert language understandingPre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN
Stars: ✭ 933 (+652.42%)
Spacy Transformers🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
Stars: ✭ 919 (+641.13%)
Starcraft AiReinforcement Learning and Transfer Learning based StarCraft Micromanagement
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Bert KerasKeras implementation of BERT with pre-trained weights
Stars: ✭ 820 (+561.29%)
Cross Domain nerCross-domain NER using cross-domain language modeling, code for ACL 2019 paper
Stars: ✭ 67 (-45.97%)
Getting Things Done With PytorchJupyter 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.
Stars: ✭ 738 (+495.16%)
Sigir2020 peterrecParameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation
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Awesome Bert NlpA curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.
Stars: ✭ 567 (+357.26%)
Drivebottensorflow deep RL for driving a rover around
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Video ClassificationTutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
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Meta Transfer LearningTensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
Stars: ✭ 439 (+254.03%)
XlearnTransfer Learning Library
Stars: ✭ 406 (+227.42%)
Ddc Transfer LearningA simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance
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Qh finsight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)
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OpentpodOpen Toolkit for Painless Object Detection
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ImageclassificationDeep Learning: Image classification, feature visualization and transfer learning with Keras
Stars: ✭ 83 (-33.06%)
Average Word2vec🔤 Calculate average word embeddings (word2vec) from documents for transfer learning
Stars: ✭ 52 (-58.06%)