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Awesome List
Probably the best curated list of data science software in Python.
GitHub stars and default-branch commits for krzjoa/awesome-python-data-science.
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An Open Source Machine Learning Framework for Everyone
Visualizer for neural network, deep learning and machine learning models
Open standard for machine learning interoperability
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
TensorFlow-based neural network library
Deep learning library featuring a higher-level API for TensorFlow.
AutoML library for deep learning
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
Deep Reinforcement Learning for Keras.
Build Graph Nets in Tensorflow
A collection of infrastructure and tools for research in neural network interpretability.
Tensorforce: a TensorFlow library for applied reinforcement learning
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
Graph Neural Networks with Keras and Tensorflow 2.
A toolkit for reproducible reinforcement learning research.
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
Hyperparameter Experiments with TensorFlow and Keras
Keras community contributions
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
Pretrained model hub for Keras 3.
TensorFlow implementation of an arbitrary order Factorization Machine
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
QKeras: a quantization deep learning library for Tensorflow Keras
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
🎆 A visualization of the CapsNet layers to better understand how it works
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
TensorLight - A high-level framework for TensorFlow