Fruit identification using Arduino and TensorFlow

By Dominic Pajak and Sandeep Mistry : https://blog.arduino.cc/2019/11/07/fruit-identification-using-arduino-and-tensorflow/

#Arduino #TensorFlow #DeepLearning

Lucid
A collection of infrastructure and tools for research in neural network interpretability : https://github.com/tensorflow/lucid
#Tensorflow #Interpretability #Visualization #MachineLearning #Colab

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

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

PhiFlow
Research-oriented differentiable fluid simulation framework : https://github.com/tum-pbs/PhiFlow
#ArtificialIntelligence #MachineLearning #TensorFlow

"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

"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

Lucid
A collection of infrastructure and tools for research in neural network interpretability : https://github.com/tensorflow/lucid
#Tensorflow #Interpretability #Visualization #MachineLearning #Colab

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

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

Colab Pro https://colab.research.google.com/signup
#Colab #DeepLearning #TensorFlow

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

Removing people from complex backgrounds in real time using TensorFlow.js in the web browser
Jason Mayes, GitHub: https://github.com/jasonmayes/Real-Time-Person-Removal
#DeepLearning #TensorFlow #TensorFlowJS

TRFL : TensorFlow Reinforcement Learning
A library of reinforcement learning building blocks
By DeepMind: https://github.com/deepmind/trfl
#DeepLearning #TensorFlow #ReinforcementLearning

TensorBoard in Jupyter Notebooks
Colab Notebook: https://colab.research.google.com/github/tensorflow/tensorboard/blob/master/docs/tensorboard_in_notebooks.ipynb
#TensorFlow #TensorBoard #Jupyter #Notebook

TensorFlow Tutorials
https://www.tensorflow.org/tutorials
#TensorFlow #Tutorials #DeepLearning

Lucid
A collection of infrastructure and tools for research in neural network interpretability : https://github.com/tensorflow/lucid
#Tensorflow #Interpretability #Visualization #MachineLearning #Colab

Affinity: Deep learning library for molecular geometry
Korablyov et al., Molecular Machines Group, MIT Media Lab: https://affinity.mit.edu
#DeepLearning #DrugDiscovery #TensorFlow

RLlib: Scalable Reinforcement Learning
RLlib is an open-source library for reinforcement learning that offers both high scalability and a unified API for a variety of applications.
RLlib natively supports TensorFlow, TensorFlow Eager, and PyTorch, but most of its internals are framework agnostic.
The Ray Team : https://ray.readthedocs.io/en/latest/rllib.html
#ReinforcementLearning #PyTorch #TensorFlow