Scatteract
Project which implements extraction of data from scatter plots
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Tensorflow Plot | 271 | 2 | 5 years ago | 4 | July 24, 2019 | 5 | mit | Python | ||
| 📈 TensorFlow + Matplotlib as TF ops | ||||||||||
| Practicaldl | 176 | 2 years ago | apache-2.0 | Jupyter Notebook | ||||||
| A Practical Guide to Deep Learning with TensorFlow 2.0 and Keras materials for Frontend Masters course | ||||||||||
| Try Tf | 176 | 5 years ago | 2 | apache-2.0 | Python | |||||
| Simple code for trying out TensorFlow with simulated datasets | ||||||||||
| Scatteract | 167 | 5 years ago | 4 | Jupyter Notebook | ||||||
| Project which implements extraction of data from scatter plots | ||||||||||
| Tbparse | 136 |  | 5 | 5 months ago | 8 | November 21, 2023 | 4 | apache-2.0 | Python | |
| Load tensorboard event logs as pandas DataFrames for scientific plotting; Supports both PyTorch and TensorFlow | ||||||||||
| Path_explain | 134 | 2 years ago | 7 | September 13, 2021 | 3 | mit | Jupyter Notebook | |||
| A repository for explaining feature attributions and feature interactions in deep neural networks. | ||||||||||
| Imgcomp Cvpr | 124 | 5 years ago | 1 | gpl-3.0 | Python | |||||
| TensorFlow implementation of Conditional Probability Models for Deep Image Compression, published in CVPR 2018 | ||||||||||
| Lstnet | 122 | 2 years ago | 2 | Python | ||||||
| A Tensorflow / Keras implementation of "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks" paper | ||||||||||
| Cvnn | 106 | 8 months ago | 85 | November 08, 2022 | 8 | mit | Python | |||
| Library to help implement a complex-valued neural network (cvnn) using tensorflow as back-end | ||||||||||
| Midaspy | 105 | 6 months ago | 13 | October 16, 2023 | 11 | apache-2.0 | Python | |||
| Python package for missing-data imputation with deep learning | ||||||||||
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