aBadCat / machineLearningLinks
Learning and Recording
☆34Updated 5 years ago
Alternatives and similar repositories for machineLearning
Users that are interested in machineLearning are comparing it to the libraries listed below
Sorting:
- BLS Code☆126Updated 6 years ago
- feature selections and extractions☆88Updated last year
- Weighted LSSVM for regression☆38Updated 6 years ago
- 支持向量机(SVM)——分类预测,包括多分类问题,核函数调参,不平衡数据问题,特征降维,网格搜索,管道机制,学习曲线,混淆矩阵,AUC曲线等☆53Updated 7 years ago
- 常用的特征选择方法☆68Updated 3 years ago
- Implementation of the stacked denoising autoencoder in Tensorflow☆205Updated 7 years ago
- K-Means++(HCM), Fuzzy C-Means(FCM), Hierarchical Clustering, DBscan☆377Updated 4 months ago
- Python code of RBF neural network classification model☆46Updated 6 years ago
- Code for paper: Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting (AAAI-20)☆108Updated 4 years ago
- AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.☆41Updated 5 years ago
- Pytorch 实现RNN、LSTM、GRU模型☆78Updated 7 years ago
- 高斯混合模型(GMM 聚类)的 EM 算法实现。☆200Updated 6 years ago
- This paper have been presented in the form of an oral presentation at the IJCNN-2019 conference. The title is "Transformation-gated LSTM…☆30Updated 5 years ago
- 基于PyTorch使用迁移学习完成项目☆60Updated 7 years ago
- pytorch >>> 快速搭建自己的模型!☆125Updated 2 years ago
- 深度学习代码☆132Updated 5 years ago
- Codes for time series forecast☆146Updated 4 years ago
- 数据预处理之缺失值处理,特征选择☆21Updated 6 years ago
- Basic algorithms about machine learnig☆50Updated 4 years ago
- Support Vector Regression☆57Updated 6 years ago
- A traffic flow prediction model based on Scikit and Keras. The model contains a DBN and a NN.☆16Updated 6 years ago
- Using K-NN, SVM, Bayes, LSTM, and multi-variable LSTM models on time series forecasting☆51Updated 6 years ago
- Stacked Denoising AutoEncoder☆79Updated 5 years ago
- A convolutional autoencoder for feature extraction, with an SVM for image classification.☆10Updated 6 years ago
- 建立SARIMA-LSTM混合模型预测时间序列问题。以PM2.5值为例,使用UCI公开的自2013年1月17日至2015年12月31日五大城市PM2.5小时检测数据,将数据按时间段划分,使用SARIMA过滤其线性趋势,再对过滤后的残差使用LSTM进行预测,最后对预测结果进行…☆82Updated 6 years ago
- 基于遗传算法的特征选择☆128Updated 5 years ago
- Multivariate time-series forecasting with LSTNET and soft-DTW loss☆30Updated 5 years ago
- ☆27Updated 6 years ago
- Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.☆108Updated 4 years ago
- Theano implementation of Cost-Sensitive Deep Neural Networks☆26Updated 7 years ago