ObjectNetPyTorch implementation of "Pyramid Scene Parsing Network".
Grapy-ML(AAAI2020)Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing
tradaboostTransfer learning algorithm TrAdaboost,coded by python
finetunerFinetuning any DNN for better embedding on neural search tasks
AD PredictionAlzheimer's Disease Prediction by using ResNet, AlexNet
KD3AHere is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".
fetchA set of deep learning models for FRB/RFI binary classification.
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
MNIST-multitask6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"
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
cmdCentral Moment Discrepancy for Domain-Invariant Representation Learning (ICLR 2017, keras)
NTUA-slp-nlp💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA
MinTLMinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems
Keras-Application-ZooReference implementations of popular DL models missing from keras-applications & keras-contrib
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.
Syn2RealRepository for Transfer Learning using Deep CNNs trained with synthetic images
MetaHeacThis is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising"(KDD2021).
translearnCode implementation of the paper "With Great Training Comes Great Vulnerability: Practical Attacks against Transfer Learning", at USENIX Security 2018
tamnun-mlAn easy to use open-source library for advanced Deep Learning and Natural Language Processing
DANCode release of "Learning Transferable Features with Deep Adaptation Networks" (ICML 2015)
super-gradientsEasily train or fine-tune SOTA computer vision models with one open source training library
CPCE-3DLow-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018
task-transferabilityData and code for our paper "Exploring and Predicting Transferability across NLP Tasks", to appear at EMNLP 2020.
MoeFlowRepository for anime characters recognition website, powered by TensorFlow
aml-keras-image-recognitionA sample Azure Machine Learning project for Transfer Learning-based custom image recognition by utilizing Keras.
Context-TransformerContext-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020
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…
AB distillationKnowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)
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.
self-driving-carImplementation of the paper "End to End Learning for Self-Driving Cars"
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.
wechselCode for WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.
object detectionImplementatoin of object detection using Tensorflow 2.1.0 | this can be use in a car for object detection
backpropBackprop makes it simple to use, finetune, and deploy state-of-the-art ML models.