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awesome-speech-recognition-speech-synthesis-papers

Speech synthesis, voice conversion, self-supervised learning, music generation,Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling

batchnormalization_keras

Source code for "One simple trick to train Keras model faster with Batch Normalization"

crackforest-dataset

ddan

Deep domain adaptation networks (DDAN) library for Python with TensorFlow.

ddc-transfer-learning

A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance

deep-learning-approach-for-surface-defect-detection

（最先进的缺陷检测网络） A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"

domain-specific-fewshot-learning

Pytorch implementation of the Trans paper "Few-shot Learning for Domain-specific Fine-grained Image Classification"

few-shot-learning-kears

Benchmark of recent (2018) SOTA few-shot learning algorithms on (small intra-class variation) image classification

gan

Tensorflow code of Dist-GAN, GN-GAN and other GAN methods

learningtocompare_fsl

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

magnetic-tile-defect-datasets.

dataset of the upcoming paper "Saliency of magnetic tile surface defects"

meta-learning-papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

prototypical-networks

Code for the NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

surface-inspection-defect-detection-dataset

This project include several different surfaces, each surface contains one or several defects. For segmentation,object detection, saliency detection，etc

tensorflow-mnist-cnn

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

tensorflow-model

tensorflow官方的预训练模型

tensorflow-windows-wheel

Tensorflow prebuilt binary for Windows

tf-dann

Domain-Adversarial Neural Network in Tensorflow

transfer-learning-crack-detection

Could you please help in building AI model to accurately detect the crack defect?

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

wassersteingan.tensorflow

Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875