Build Graph Nets in Tensorflow
- graph-networks
- graphs
- deep-learning
- neural-networks
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Build Graph Nets in Tensorflow
A PyTorch Library for Accelerating 3D Deep Learning Research
Image augmentation library in Python for machine learning.
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
links to conference publications in graph-based deep learning
Run Keras models in the browser, with GPU support using WebGL
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
A unified, comprehensive and efficient recommendation library
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Scalable and user friendly neural :brain: forecasting algorithms.
Lightweight library to build and train neural networks in Theano
A best practice for tensorflow project template architecture.
🛠 All-in-one web-based IDE specialized for machine learning and data science.
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.
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
TensorFlow (Python API) implementation of Neural Style
StellarGraph - Machine Learning on Graphs
List of articles related to deep learning applied to music
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
A library for prototyping realtime hand detection (bounding box), directly in the browser.
A curated list of resources for Learning with Noisy Labels
Deep neural network to extract intelligent information from invoice documents.
TensorFlow Tutorials