Amazon Alexa Reviews
Using Natural Language Processing, Data Visualizations and Classification Algorithms of Machine Learning
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Smile | 5,833 | 121 | 35 | 6 months ago | 33 | June 14, 2023 | 12 | other | Java | |
| Statistical Machine Intelligence & Learning Engine | ||||||||||
| Orange3 | 4,469 |  | 57 | 47 | 3 months ago | 63 | October 31, 2023 | 99 | other | Python |
| 🍊 :bar_chart: :bulb: Orange: Interactive data analysis | ||||||||||
| Pointnet_pointnet2_pytorch | 2,491 | 9 months ago | 114 | mit | Python | |||||
| PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS. | ||||||||||
| Machine_learning_and_deep_learning | 492 | 4 months ago | gpl-3.0 | Jupyter Notebook | ||||||
| Structured Self Attention | 412 | 5 years ago | 5 | mit | Python | |||||
| A Structured Self-attentive Sentence Embedding | ||||||||||
| Mcfly | 355 | a year ago | 12 | July 31, 2020 | 61 | apache-2.0 | JavaScript | |||
| A deep learning tool for time series classification and regression | ||||||||||
| Neat Vision | 175 | 6 years ago | 3 | mit | Vue | |||||
| Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic) | ||||||||||
| Dgm | 167 | 3 years ago | 4 | other | C++ | |||||
| Direct Graphical Models (DGM) C++ library, a cross-platform Conditional Random Fields library, which is optimized for parallel computing and includes modules for feature extraction, classification and visualization. | ||||||||||
| Mapclassify | 125 |  | 18 | 41 | 3 months ago | 18 | October 04, 2023 | 8 | bsd-3-clause | Jupyter Notebook |
| Classification schemes for choropleth mapping. | ||||||||||
| Keras_transfer_cifar10 | 116 | 7 years ago | 2 | Jupyter Notebook | ||||||
| Object classification with CIFAR-10 using transfer learning | ||||||||||
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