Tfjs Examples Alternatives
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Tfjs Examples | 6,354 | a year ago | 117 | apache-2.0 | JavaScript | |||||
| Examples built with TensorFlow.js | ||||||||||
| Pipcook | 2,483 |  | 38 | a year ago | 104 | May 13, 2021 | 111 | apache-2.0 | TypeScript | |
| Machine learning platform for Web developers | ||||||||||
| Bayesian Neural Networks | 1,633 | 2 years ago | 5 | mit | Jupyter Notebook | |||||
| Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more | ||||||||||
| Tensorflow Tutorial | 751 | 7 years ago | ||||||||
| TensorFlow and Deep Learning Tutorials | ||||||||||
| Scisharp Stack Examples | 292 | 2 years ago | 16 | apache-2.0 | C# | |||||
| Practical examples written in SciSharp's machine learning libraries | ||||||||||
| Pytorch Classification Uncertainty | 235 | 3 years ago | 3 | mit | Python | |||||
| This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty" | ||||||||||
| Mnist_tutorial | 222 | 4 years ago | 2 | Jupyter Notebook | ||||||
| A tutorial for MNIST handwritten digit classification using sklearn, PyTorch and Keras. | ||||||||||
| Handwritten Digit Recognition Using Deep Learning | 158 | 2 years ago | mit | Python | ||||||
| Handwritten Digit Recognition using Machine Learning and Deep Learning | ||||||||||
| Cnn Svm | 151 | 5 years ago | 3 | apache-2.0 | Python | |||||
| An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification | ||||||||||
| Pytsetlinmachine | 118 | a year ago | 29 | October 12, 2021 | 8 | mit | C | |||
| Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, and clause indexing | ||||||||||
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