AWESOME DATA SCIENCE
Section: Deep Learning Packages
FreshScore 92
Entry
Keras
Appears in 8 awesome lists
Neural Networks on top of tensorflow, examples. keras-contrib - Keras community contributions. keras-tuner - Hyperparameter tuning for Keras. hyperas - Keras + Hyperopt: Convenient hyperparameter optimization wrapper. elephas - Distributed Deep learning with Keras & Spark. tflearn - Neural…
Found in these lists
Awesome Deep Learning Resources
Section: Librairies and Implementations · Keras is another intersting deep learning framework like TensorFlow, it is mostly high-level.
StaleScore 52
Awesome Python Data Science
Section: Keras · A high-level neural networks API running on top of TensorFlow.
ActiveScore 71
Awesome Robotics
Section: TensorFlow related · Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.
StaleScore 48
Awesome Data Science with Python
Section: General · Neural Networks on top of tensorflow, examples. keras-contrib - Keras community contributions. keras-tuner - Hyperparameter tuning for Keras. hyperas - Keras + Hyperopt: Convenient hyperparameter optimization wrapper. elephas - Distributed Deep learning with Keras & Spark. tflearn - Neural…
FreshScore 82
Machine Learning for iOS
Section: Core ML
StaleScore 45
Table of Contents
Section: ML frameworks & applications · is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano.It was developed with a focus on enabling fast experimentation. It is capable of running on top of TensorFlow, Microsoft Cognitive Toolkit, R, Theano, or PlaidML.
SlowScore 61
Table of Contents
Section: ML Frameworks, Libraries, and Tools · is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano.It was developed with a focus on enabling fast experimentation. It is capable of running on top of TensorFlow, Microsoft Cognitive Toolkit, R, Theano, or PlaidML.
SlowScore 51
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TensorFlow
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Netron
Visualizer for deep learning and machine learning models (no Python code, but visualizes models from most Python Deep Learning frameworks).
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Polyaxon
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle. Reproducible and scalable machine learning workflows on Kubernetes with experiment tracking, model management, and pipeline orchestration. Apache 2.0 licensed.
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D3.js
Allows the user to manipulate documents based on data to render charts in SVG.
In 9 listsDetails
torchvision
PyTorch's official computer vision library with 50+ pre-trained model architectures including ResNet, EfficientNet, Vision Transformers (ViT), ConvNeXt, and more. The de facto standard model zoo for PyTorch computer vision. BSD-3-Clause licensed.
In 9 listsDetails
Metabase
Easy way for everyone in your company to ask questions and learn from data. (Source Code) AGPL-3.0 Java/Docker
In 8 listsDetails
PyTorch Geometric
Graph neural network library for PyTorch enabling molecular modeling, materials discovery, protein interaction networks, and scientific knowledge graph learning (23.7k+ stars)
In 7 listsDetails