44 skills found · Page 1 of 2
tensorly / TensorlyTensorLy: Tensor Learning in Python.
aryan-jadon / Regression Loss Functions In Time Series Forecasting TensorflowThis repository contains the implementation of paper Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting with different loss functions in Tensorflow. We have compared 14 regression loss functions performance on 4 different datasets.
tensorly / TorchTensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch
strongio / Quantile Regression TensorflowTensorflow implementation of deep quantile regression
xwcao / LowRankTRNCode for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"
duguiming111 / Tensorflow Logistics Regression用tensorflow实现了逻辑回归算法，将sigmoid换成softmax，实现多文本分类的任务。
Hua-Zhou / TensorRegMatlab toolbox for tensor regressions
lockEF / MultiwayRegressionPerform tensor-on-tensor regression
kaustubholpadkar / Linear Regression With Tensorflow.jsSimulation of Linear Regression algorithm using P5.JS and Tensorflow.js
zaleslaw / KotlinDeepLearningTutorialTensors, Model Inference, Linear Regression, MNIST, LSTM with TensorFlow, DL4j, komputation, DJL on Kotlin
LifangHe / NeurIPS18 SURFBoosted Sparse and Low-Rank Tensor Regression
anhassan / RF Coverage Optimization Using Machine Learning• Data preprocessing and Data base management using MySQL. • Coverage Analysis using SVR (Support Vector Regression), ANN (Artificial Neural Network) with Keras, Tensor Flow and Outlier Detection through cluster-based approaches including K-Means clustering and DBSCAN • Network Health Estimation using Bayesian Kriging, Deep Learning and Graph Signal Processing by solving an optimization problem on graph using proximal splitting methods. • Developing a user-friendly GUI for the regularity authority for data visualization, analytics and store the results of the analysis
irwanafandi24 / Data Science Course 2020 365Careers UdemyThis repository contains my machine learning programs that I have learned from udemy (The Data Science Course 2020: Complete Data Science Bootcamp - 365 Careers). You can learn about Linear Regression, Logistic Regression, K-Means and Dendogram Clustering, Basic Tensor Flow and the last is how to make module and try to integrate it. I have made notes in each line of code, hope that can make you easier to understand the code.
kimanalytics / Regression Of Boston House Prices Using Keras And TensorFlowIn this project, I will create a neural network model with Keras. I will also use scikit-learn to evaluate models using cross-validation. Finally, I will tune the network topology of models with Keras. My backend will be TensorFlow.
curiousily / Logistic Regression With TensorFlow JsPredict diabetes disease using a Logistic Regression with TensorFlow.js
soominkwon / Machine Learning With Tensor FactorizationsTensor-structured machine learning algorithms (support vector machines, logistic regression, linear regression) named CP-SVM, CP-LogisticRegression, CP-LinearRegression, respectively
adrianbevan / TensorFlow TutorialTensor Flow tutorial examples, containing Linear Regression, MLP and CNN examples
liuofficial / GTRGeneralized Tensor Regression for Hyperspectral Image Classification, TGRS, 2020
rajguhaniyogi / Bayesian Tensor RegressionThis Repository contains short description, link to the paper and codes for Bayesian tensor regression
matteoiacopini / ZIL T MSMATLAB code for Bayesian Markov-Switching Tensor Regression for Time-Varying Networks
