YCdreaming's repositories
advanced-deep-learning-with-python
Advanced Deep Learning with Python
awesome-causal-inference
A (concise) curated list of awesome Causal Inference resources.
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
Awesome-Incremental-Learning
Awesome Incremental Learning
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
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.
deep-kernel-transfer
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
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.
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
deeplearning-models
A collection of various deep learning architectures, models, and tips
deeplearning-tf2
Deep learning model zoo with TensorFlow 2.X (& Keras)
gptp_multi_output
multivariate Gaussian process regression and multivariate Student-t process regression
keras_lstm_vae
Keras implementation of LSTM Variational Autoencoder
Latent-Variable-Models
K-Means, Gaussian Mixture Models, Probabilistic PCA, Variational Auto Encoders
nndl.github.io
《神经网络与深度学习》 Neural Network and Deep Learning
prml-matlab
MATLAB implemention of algorithms within and without the famous PRML book
python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
Tensorflow-Deep-Neural-Networks
用Tensorflow实现的深度神经网络
TensorFlow-Tutorials
Simple tutorials using Google's TensorFlow Framework
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。
TimeSeriesForecasting
基于统计学的时间序列预测(AR,ARM).
TimeSeriesPredict
used for Stock Prodiction&power prediction&Traffic prediction by ARIMA,xgboost,RNN,LSTM,TCN