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164 | 164 |
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165 | 165 | <a name="dl-mxnet"></a> |
166 | 166 | ### MXNet |
167 | | -* [MXNet](https://github.com/apache/incubator-mxnet) - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler. <img height="20" src="img/R_big.png" alt="MXNet based"> |
168 | | -* [Gluon](https://github.com/gluon-api/gluon-api) - A clear, concise, simple yet powerful and efficient API for deep learning (now included in MXNet). <img height="20" src="img/R_big.png" alt="MXNet based"> |
169 | | -* [MXbox](https://github.com/Lyken17/mxbox) - Simple, efficient and flexible vision toolbox for mxnet framework. <img height="20" src="img/R_big.png" alt="MXNet based"> |
170 | | -* [gluon-cv](https://github.com/dmlc/gluon-cv) - Provides implementations of the state-of-the-art deep learning models in computer vision. <img height="20" src="img/R_big.png" alt="MXNet based"> |
171 | | -* [gluon-nlp](https://github.com/dmlc/gluon-nlp) - NLP made easy. <img height="20" src="img/R_big.png" alt="MXNet based"> |
172 | | -* [Xfer](https://github.com/amzn/xfer) - Transfer Learning library for Deep Neural Networks. <img height="20" src="img/R_big.png" alt="MXNet based"> |
173 | | -* [MXNet](https://github.com/ROCmSoftwarePlatform/mxnet) - HIP Port of MXNet. <img height="20" src="img/R_big.png" alt="MXNet based"> <img height="20" src="img/amd_big.png" alt="Possible to run on AMD GPU"> |
| 167 | +* [MXNet](https://github.com/apache/incubator-mxnet) - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler. <img height="20" src="img/mxnet_big.png" alt="MXNet based"> |
| 168 | +* [Gluon](https://github.com/gluon-api/gluon-api) - A clear, concise, simple yet powerful and efficient API for deep learning (now included in MXNet). <img height="20" src="img/mxnet_big.png" alt="MXNet based"> |
| 169 | +* [MXbox](https://github.com/Lyken17/mxbox) - Simple, efficient and flexible vision toolbox for mxnet framework. <img height="20" src="img/mxnet_big.png" alt="MXNet based"> |
| 170 | +* [gluon-cv](https://github.com/dmlc/gluon-cv) - Provides implementations of the state-of-the-art deep learning models in computer vision. <img height="20" src="img/mxnet_big.png" alt="MXNet based"> |
| 171 | +* [gluon-nlp](https://github.com/dmlc/gluon-nlp) - NLP made easy. <img height="20" src="img/mxnet_big.png" alt="MXNet based"> |
| 172 | +* [Xfer](https://github.com/amzn/xfer) - Transfer Learning library for Deep Neural Networks. <img height="20" src="img/mxnet_big.png" alt="MXNet based"> |
| 173 | +* [MXNet](https://github.com/ROCmSoftwarePlatform/mxnet) - HIP Port of MXNet. <img height="20" src="img/mxnet_big.png" alt="MXNet based"> <img height="20" src="img/amd_big.png" alt="Possible to run on AMD GPU"> |
174 | 174 |
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175 | 175 | <!--a name="dl-cntk"></a--> |
176 | 176 | <a name="dl-chainer"></a> |
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290 | 290 | * [Netron](https://github.com/lutzroeder/Netron) - Visualizer for deep learning and machine learning models (no Python code, but visualizes models from most Python Deep Learning frameworks). |
291 | 291 | * [FlashLight](https://github.com/dlguys/flashlight) - Visualization Tool for your NeuralNetwork. |
292 | 292 | * [tensorboard-pytorch](https://github.com/lanpa/tensorboard-pytorch) - Tensorboard for pytorch (and chainer, mxnet, numpy, ...). |
293 | | -* [mxboard](https://github.com/awslabs/mxboard) - Logging MXNet data for visualization in TensorBoard. <img height="20" src="img/R_big.png" alt="MXNet based"> |
| 293 | +* [mxboard](https://github.com/awslabs/mxboard) - Logging MXNet data for visualization in TensorBoard. <img height="20" src="img/mxnet_big.png" alt="MXNet based"> |
294 | 294 |
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295 | 295 | <a name="rl"></a> |
296 | 296 | ## Reinforcement Learning |
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331 | 331 | * [hsmmlearn](https://github.com/jvkersch/hsmmlearn) - A library for hidden semi-Markov models with explicit durations. |
332 | 332 | * [pyhsmm](https://github.com/mattjj/pyhsmm) - Bayesian inference in HSMMs and HMMs. |
333 | 333 | * [GPyTorch](https://github.com/cornellius-gp/gpytorch) - A highly efficient and modular implementation of Gaussian Processes in PyTorch. <img height="20" src="img/pytorch_big2.png" alt="PyTorch based/compatible"> |
334 | | -* [MXFusion](https://github.com/amzn/MXFusion) - Modular Probabilistic Programming on MXNet <img height="20" src="img/R_big.png" alt="MXNet based"> |
| 334 | +* [MXFusion](https://github.com/amzn/MXFusion) - Modular Probabilistic Programming on MXNet <img height="20" src="img/mxnet_big.png" alt="MXNet based"> |
335 | 335 | * [sklearn-crfsuite](https://github.com/TeamHG-Memex/sklearn-crfsuite) - A scikit-learn inspired API for CRFsuite. <img height="20" src="img/sklearn_big.png" alt="sklearn"> |
336 | 336 |
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337 | 337 | <a name="gp"></a> |
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