YC-dreaming
transfer learning ; domain adaptation; deep learning
Shen yang , Liaoning province , china, Northeastern University
Pinned Repositories
advanced-deep-learning-with-python
Advanced Deep Learning with Python
adverserial-autoencoder-keras
Keras Implementation of adverserial autoencoder (AAE)
Allign_JDOT
Alligned Joint distribution optimal transport
attention
some attention implements
AttnGAN
awesome-causal-inference
A (concise) curated list of awesome Causal Inference resources.
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-deep-imbalanced-data-learning
awesome-ensemble-learning
Ensemble learning related books, papers, videos, and toolboxes
awesome-imbalanced-learning
A curated list of awesome imbalanced learning papers, codes, frameworks, and libraries. | 类别不平衡学习:论文、代码、框架与库
YC-dreaming's Repositories
YC-dreaming/advanced-deep-learning-with-python
Advanced Deep Learning with Python
YC-dreaming/awesome-causal-inference
A (concise) curated list of awesome Causal Inference resources.
YC-dreaming/awesome-deep-imbalanced-data-learning
YC-dreaming/awesome-ensemble-learning
Ensemble learning related books, papers, videos, and toolboxes
YC-dreaming/awesome-imbalanced-learning
A curated list of awesome imbalanced learning papers, codes, frameworks, and libraries. | 类别不平衡学习:论文、代码、框架与库
YC-dreaming/Awesome-Incremental-Learning
Awesome Incremental Learning
YC-dreaming/Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
YC-dreaming/bnt
Bayes Net Toolbox for Matlab
YC-dreaming/CVAE-GAN-zoos-PyTorch-Beginner
For beginner, this will be the best start for VAEs, GANs, and CVAE-GAN. This contains AE, DAE, VAE, GAN, CGAN, DCGAN, WGAN, WGAN-GP, VAE-GAN, CVAE-GAN. All use PyTorch.
YC-dreaming/deep-kernel-transfer
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
YC-dreaming/deep-learning-uncertainty
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
YC-dreaming/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,近30万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
YC-dreaming/deeplearning-models
A collection of various deep learning architectures, models, and tips
YC-dreaming/deeplearning-tf2
Deep learning model zoo with TensorFlow 2.X (& Keras)
YC-dreaming/gptp_multi_output
multivariate Gaussian process regression and multivariate Student-t process regression
YC-dreaming/keras_lstm_vae
Keras implementation of LSTM Variational Autoencoder
YC-dreaming/Latent-Variable-Models
K-Means, Gaussian Mixture Models, Probabilistic PCA, Variational Auto Encoders
YC-dreaming/ML_Notes
机器学习算法的公式推导以及numpy实现
YC-dreaming/nndl.github.io
《神经网络与深度学习》 Neural Network and Deep Learning
YC-dreaming/prml-matlab
MATLAB implemention of algorithms within and without the famous PRML book
YC-dreaming/python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
YC-dreaming/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
YC-dreaming/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
YC-dreaming/ssdkl
Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance
YC-dreaming/Tensorflow-Deep-Neural-Networks
用Tensorflow实现的深度神经网络
YC-dreaming/TensorFlow-Tutorials
Simple tutorials using Google's TensorFlow Framework
YC-dreaming/TensorFlow2.0Tutorials
TensorFlow 2.0 version's Tutorials and Examples, CNN, RNN, GAN tutorials, etc. TF 2.0版入门实例代码,实战教程。
YC-dreaming/TimeSeriesForecasting
基于统计学的时间序列预测(AR,ARM).
YC-dreaming/TimeSeriesPredict
used for Stock Prodiction&power prediction&Traffic prediction by ARIMA,xgboost,RNN,LSTM,TCN
YC-dreaming/zhusuan
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow