MetaHeacThis is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising"(KDD2021).
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aml-keras-image-recognitionA sample Azure Machine Learning project for Transfer Learning-based custom image recognition by utilizing Keras.
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AB distillationKnowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)
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TrainCaffeCustomDatasetTransfer learning in Caffe: example on how to train CaffeNet on custom dataset
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super-gradientsEasily train or fine-tune SOTA computer vision models with one open source training library
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Keras-Application-ZooReference implementations of popular DL models missing from keras-applications & keras-contrib
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CPCE-3DLow-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018
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Transfer-LearningInception V3 for Transfer Learning on Cats and Dogs
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MoeFlowRepository for anime characters recognition website, powered by TensorFlow
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forestTreesTaggingThis project has the vision to assist the officials for Forest trees census and tagging each tree with proper location (latitude and longitude), tree type, and other arguments. and further had the plan to apply data analysis over-collected data.
Stars: ✭ 18 (-25%)
Context-TransformerContext-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020
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translearnCode implementation of the paper "With Great Training Comes Great Vulnerability: Practical Attacks against Transfer Learning", at USENIX Security 2018
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ParsBigBirdPersian Bert For Long-Range Sequences
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self-driving-carImplementation of the paper "End to End Learning for Self-Driving Cars"
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DANCode release of "Learning Transferable Features with Deep Adaptation Networks" (ICML 2015)
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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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dqn-tensorflowDeep Q Network implements by Tensorflow
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cmdCentral Moment Discrepancy for Domain-Invariant Representation Learning (ICLR 2017, keras)
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task-transferabilityData and code for our paper "Exploring and Predicting Transferability across NLP Tasks", to appear at EMNLP 2020.
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digital peter aij2020Materials of the AI Journey 2020 competition dedicated to the recognition of Peter the Great's manuscripts, https://ai-journey.ru/contest/task01
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paper annotationsA place to keep track of all the annotated papers.
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awesome-list-of-awesomesA curated list of all the Awesome --Topic Name-- lists I've found till date relevant to Data lifecycle, ML and DL.
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NTUA-slp-nlp💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA
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TransTQAAuthor: Wenhao Yu (
[email protected]). EMNLP'20. Transfer Learning for Technical Question Answering.
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Syn2RealRepository for Transfer Learning using Deep CNNs trained with synthetic images
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nlp pyconMaterial for PyCon 2019 NLP Tutorial
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introspectedIntrospection for serializable arrays and JSON friendly objects.
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deep-learningProjects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the…
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MinTLMinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems
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WSDM2022-PTUPCDRThis is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), which has been accepted by WSDM2022.
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tamnun-mlAn easy to use open-source library for advanced Deep Learning and Natural Language Processing
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rlReinforcement learning algorithms implemented using Keras and OpenAI Gym
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MNIST-multitask6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"
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AU RecognitionAU_Recognition based on CKPlus/CK database
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cca zooCanonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework
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DeepCD[ICCV17] DeepCD: Learning Deep Complementary Descriptors for Patch Representations
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videoMultiGANEnd to End learning for Video Generation from Text
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fetchA set of deep learning models for FRB/RFI binary classification.
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neuralBlackA Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework
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hawpHolistically-Attracted Wireframe Parsing
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Protobuf-DreamerA tiled DeepDream project for creating any size of image, on both CPU and GPU
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