Lucid
A collection of infrastructure and tools for research in neural network interpretability : https://github.com/tensorflow/lucid
#Tensorflow #Interpretability #Visualization #MachineLearning #Colab
A collection of infrastructure and tools for research in neural network interpretability : https://github.com/tensorflow/lucid
#Tensorflow #Interpretability #Visualization #MachineLearning #Colab
GitHub
GitHub - tensorflow/lucid: A collection of infrastructure and tools for research in neural network interpretability.
A collection of infrastructure and tools for research in neural network interpretability. - tensorflow/lucid
Graph Nets library
Graph Nets is DeepMind's library for building graph networks in Tensorflow and Sonnet: https://github.com/deepmind/graph_nets
#ArtificialIntelligence #GraphNetworks #Graphs #DeepLearning #NeuralNetworks #TensorFlow
Graph Nets is DeepMind's library for building graph networks in Tensorflow and Sonnet: https://github.com/deepmind/graph_nets
#ArtificialIntelligence #GraphNetworks #Graphs #DeepLearning #NeuralNetworks #TensorFlow
GitHub
GitHub - google-deepmind/graph_nets: Build Graph Nets in Tensorflow
Build Graph Nets in Tensorflow. Contribute to google-deepmind/graph_nets development by creating an account on GitHub.
Introducing TensorBoard.dev: a new way to share your ML experiment results
Blog by Gal Oshri : https://blog.tensorflow.org/2019/12/introducing-tensorboarddev-new-way-to.html
#ArtificialIntelligence #MachineLearning #TensorFlow
Blog by Gal Oshri : https://blog.tensorflow.org/2019/12/introducing-tensorboarddev-new-way-to.html
#ArtificialIntelligence #MachineLearning #TensorFlow
blog.tensorflow.org
Introducing TensorBoard.dev: a new way to share your ML experiment results
The TensorFlow blog contains regular news from the TensorFlow team and the community, with articles on Python, TensorFlow.js, TF Lite, TFX, and more.
PhiFlow
Research-oriented differentiable fluid simulation framework : https://github.com/tum-pbs/PhiFlow
#ArtificialIntelligence #MachineLearning #TensorFlow
Research-oriented differentiable fluid simulation framework : https://github.com/tum-pbs/PhiFlow
#ArtificialIntelligence #MachineLearning #TensorFlow
GitHub
GitHub - tum-pbs/PhiFlow: A differentiable PDE solving framework for machine learning
A differentiable PDE solving framework for machine learning - tum-pbs/PhiFlow
"Differentiable Convex Optimization Layers"
CVXPY creates powerful new PyTorch and TensorFlow layers
Agrawal et al.: https://locuslab.github.io/2019-10-28-cvxpylayers/
#PyTorch #TensorFlow #NeurIPS2019
CVXPY creates powerful new PyTorch and TensorFlow layers
Agrawal et al.: https://locuslab.github.io/2019-10-28-cvxpylayers/
#PyTorch #TensorFlow #NeurIPS2019
locuslab.github.io
Differentiable Convex Optimization Layers
CVXPY creates powerful new PyTorch and TensorFlow layers
"Differentiable Convex Optimization Layers"
CVXPY creates powerful new PyTorch and TensorFlow layers
Agrawal et al.: https://locuslab.github.io/2019-10-28-cvxpylayers/
#PyTorch #TensorFlow #NeurIPS2019
CVXPY creates powerful new PyTorch and TensorFlow layers
Agrawal et al.: https://locuslab.github.io/2019-10-28-cvxpylayers/
#PyTorch #TensorFlow #NeurIPS2019
locuslab.github.io
Differentiable Convex Optimization Layers
CVXPY creates powerful new PyTorch and TensorFlow layers
Lucid
A collection of infrastructure and tools for research in neural network interpretability : https://github.com/tensorflow/lucid
#Tensorflow #Interpretability #Visualization #MachineLearning #Colab
A collection of infrastructure and tools for research in neural network interpretability : https://github.com/tensorflow/lucid
#Tensorflow #Interpretability #Visualization #MachineLearning #Colab
GitHub
GitHub - tensorflow/lucid: A collection of infrastructure and tools for research in neural network interpretability.
A collection of infrastructure and tools for research in neural network interpretability. - tensorflow/lucid
Machine Learning Unlocks Library of The Human Brain. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #NeuroScience
https://thetartan.org/2019/11/11/scitech/brain-thoughts
https://thetartan.org/2019/11/11/scitech/brain-thoughts
DDSP: Differentiable Digital Signal Processing
Engel et al.
⌨️ Blog: https://magenta.tensorflow.org/ddsp
🎵 Examples: https://g.co/magenta/ddsp-examples
⏯ Colab: https://g.co/magenta/ddsp-demo
💻 Code: https://github.com/magenta/ddsp
📝 Paper: https://g.co/magenta/ddsp-paper
#ArtificialIntelligence #TensorFlow #SignalProcessing
Engel et al.
⌨️ Blog: https://magenta.tensorflow.org/ddsp
🎵 Examples: https://g.co/magenta/ddsp-examples
⏯ Colab: https://g.co/magenta/ddsp-demo
💻 Code: https://github.com/magenta/ddsp
📝 Paper: https://g.co/magenta/ddsp-paper
#ArtificialIntelligence #TensorFlow #SignalProcessing
Magenta
DDSP: Differentiable Digital Signal Processing
Today, we’re pleased to introduce the Differentiable Digital Signal Processing (DDSP) library. DDSP lets you combine the interpretable structure of classical...
PyTorch Wrapper version 1.1 is out!
New Features:
- Samplers for smart batching based on text length for faster training.
- Loss and Evaluation wrappers for token prediction tasks.
- New nn.modules for attention based models.
- Support for multi GPU training / evaluation / prediction.
- Verbose argument in system's methods.
- Examples using Transformer based models like BERT for text classification.
Check it out in the following links:
install with: pip install pytorch-wrapper
GitHub: https://github.com/jkoutsikakis/pytorch-wrapper
docs: https://pytorch-wrapper.readthedocs.io/en/latest/
examples: https://github.com/jkouts…/pytorch-wrapper/…/master/examples
#DeepLearning #PyTorch #NeuralNetworks #MachineLearning #DataScience #python #TensorFlow
New Features:
- Samplers for smart batching based on text length for faster training.
- Loss and Evaluation wrappers for token prediction tasks.
- New nn.modules for attention based models.
- Support for multi GPU training / evaluation / prediction.
- Verbose argument in system's methods.
- Examples using Transformer based models like BERT for text classification.
Check it out in the following links:
install with: pip install pytorch-wrapper
GitHub: https://github.com/jkoutsikakis/pytorch-wrapper
docs: https://pytorch-wrapper.readthedocs.io/en/latest/
examples: https://github.com/jkouts…/pytorch-wrapper/…/master/examples
#DeepLearning #PyTorch #NeuralNetworks #MachineLearning #DataScience #python #TensorFlow
GitHub
jkoutsikakis/pytorch-wrapper
Provides a systematic and extensible way to build, train, evaluate, and tune deep learning models using PyTorch. - jkoutsikakis/pytorch-wrapper