AD PredictionAlzheimer's Disease Prediction by using ResNet, AlexNet
Stars: ✭ 118 (+337.04%)
Mutual labels: transfer-learning
NTUA-slp-nlp💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA
Stars: ✭ 19 (-29.63%)
Mutual labels: transfer-learning
cmdCentral Moment Discrepancy for Domain-Invariant Representation Learning (ICLR 2017, keras)
Stars: ✭ 53 (+96.3%)
Mutual labels: transfer-learning
cifar-tensorflowNo description or website provided.
Stars: ✭ 18 (-33.33%)
Mutual labels: cifar-10
ParsBigBirdPersian Bert For Long-Range Sequences
Stars: ✭ 58 (+114.81%)
Mutual labels: transfer-learning
WhiteBox-Part1In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)
Stars: ✭ 34 (+25.93%)
Mutual labels: cifar-10
DenseNet-Cifar10Train DenseNet on Cifar-10 based on Keras
Stars: ✭ 39 (+44.44%)
Mutual labels: cifar-10
fetchA set of deep learning models for FRB/RFI binary classification.
Stars: ✭ 19 (-29.63%)
Mutual labels: transfer-learning
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
Stars: ✭ 36 (+33.33%)
Mutual labels: transfer-learning
KD3AHere is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".
Stars: ✭ 63 (+133.33%)
Mutual labels: transfer-learning
Transfer-LearningInception V3 for Transfer Learning on Cats and Dogs
Stars: ✭ 17 (-37.04%)
Mutual labels: transfer-learning
cifar10Predict CIFAR-10 labels with 88% accuracy using keras.
Stars: ✭ 32 (+18.52%)
Mutual labels: cifar-10
MinTLMinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems
Stars: ✭ 61 (+125.93%)
Mutual labels: transfer-learning
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
Stars: ✭ 61 (+125.93%)
Mutual labels: transfer-learning
tradaboostTransfer learning algorithm TrAdaboost,coded by python
Stars: ✭ 96 (+255.56%)
Mutual labels: transfer-learning
finetunerFinetuning any DNN for better embedding on neural search tasks
Stars: ✭ 442 (+1537.04%)
Mutual labels: transfer-learning