Pinned Repositories
annBasedNumpy
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15个章节，近20万字。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
GPy
Gaussian processes framework in python
hangzhou_house_knowledge
2017年买房经历总结出来的买房购房知识分享给大家，希望对大家有所帮助。买房不易，且买且珍惜。Sharing the knowledge of buy an own house that according to the experience at hangzhou in 2017 to all the people. It's not easy to buy a own house, so I hope that it would be useful to everyone.
ladder
Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.
MDM
MDM
MMD-Variational-Autoencoder
probability
Probabilistic reasoning and statistical analysis in TensorFlow
TensorFlow-Multi-GPUs
Samples for Multi GPUs in TensorFlow
toolbox
A Java Toolbox for Scalable Probabilistic Machine Learning
yaolezju's Repositories
yaolezju/MDM
MDM
yaolezju/AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
yaolezju/AttentionConvLSTM
"Attention in Convolutional LSTM for Gesture Recognition" in NIPS 2018
yaolezju/awesome-interpretable-machine-learning
yaolezju/awesome-machine-learning-interpretability
A curated list of awesome machine learning interpretability resources.
yaolezju/Causal-discovery-from-multiset-timeseries
yaolezju/CGNN
Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"
yaolezju/continual-learning
PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, DGR, DGR+distill, RtF, iCaRL).
yaolezju/ConvLSTM-PyTorch
ConvLSTM/ConvGRU (Birdirectional) (Encoder-Decoder) with PyTorch
yaolezju/DAG-GNN
yaolezju/Deep-Learning-with-PyTorch-Tutorials
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
yaolezju/dimensionality_reduction_alo_codes
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
yaolezju/Document-Classifier-LSTM
A bidirectional LSTM with attention for multiclass/multilabel text classification.
yaolezju/exnn
Enhanced Explainable Neural Network
yaolezju/interpretable-ml-book
Book about interpretable machine learning
yaolezju/interpretable_machine_learning_with_python
Practical techniques for training interpretable ML models, explaining ML models, and debugging ML models.
yaolezju/KDEpy
Kernel Density Estimation in Python
yaolezju/LeetCode
https://leetcode-cn.com/problemset/all/
yaolezju/MSCRED
Multi-Scale Convolutional Recurrent Encoder-Decoder
yaolezju/MSCRED-1
Concise, modular implementation of Multi-Scale Convolutional Recurrent Encoder Decoder: https://arxiv.org/abs/1811.08055
yaolezju/notears
DAGs with NO TEARS: Continuous Optimization for Structure Learning
yaolezju/NRI
Neural relational inference for interacting systems - pytorch
yaolezju/pyGAM
[HELP REQUESTED] Generalized Additive Models in Python
yaolezju/pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
yaolezju/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
yaolezju/SindyAutoencoders
yaolezju/SparseGP
Sparse Gaussian process: VFE and SVI-GP
yaolezju/TensorFlow-Convolutional-AutoEncoder
This is an implementation of Convolutional AutoEncoder using only TensorFlow
yaolezju/WZU-machine-learning-course
温州大学《机器学习》课程资料（代码、课件等）
yaolezju/xai_resources
Interesting resources related to XAI (Explainable Artificial Intelligence)