Pinned Repositories
beautiful-jekyll
:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll
bert
TensorFlow code and pre-trained models for BERT
CodeJam
Code Jam algorithms
okAPI
Recipes and Tutorials for Automation & Extension on the CGC and SBPLAT platforms
prop
Evaluates the validity of arguments in propositional calculus. Useful for verifying logic exercises as part of a mathematics or philosophy course.
Prop_website
A web application for Prop, built with Flask and Mathquill, deployed with Docker :whale:
satsumas.github.io
tensorflow
Computation using data flow graphs for scalable machine learning
website
satsumas's Repositories
satsumas/CodeJam
Code Jam algorithms
satsumas/prop
Evaluates the validity of arguments in propositional calculus. Useful for verifying logic exercises as part of a mathematics or philosophy course.
satsumas/beautiful-jekyll
:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll
satsumas/bert
TensorFlow code and pre-trained models for BERT
satsumas/okAPI
Recipes and Tutorials for Automation & Extension on the CGC and SBPLAT platforms
satsumas/Prop_website
A web application for Prop, built with Flask and Mathquill, deployed with Docker :whale:
satsumas/tensorflow
Computation using data flow graphs for scalable machine learning
satsumas/website
satsumas/CarND-Traffic-Sign-Classifier-Project
Classify Traffic Signs.
satsumas/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
satsumas/docs
TensorFlow documentation
satsumas/documentation-site-pilot
A pilot site with Jekyll
satsumas/flask_jsondash
:snake: :bar_chart: :chart_with_upwards_trend: Build javascript chart dashboards without any front-end code. Uses any json endpoint. JSON config only. Ready to go.
satsumas/front-end
Front-end application for ALL the microservices
satsumas/German-Traffic-Sign-Classification-Using-TensorFlow
In this project, I used Python and TensorFlow to classify traffic signs. Dataset used: German Traffic Sign Dataset. This dataset has more than 50,000 images of 43 classes. I was able to reach a +99% validation accuracy, and a 97.3% testing accuracy.
satsumas/GTSRB
Convolutional Neural Network for German Traffic Sign Recognition Benchmark
satsumas/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
satsumas/kaggle
satsumas/keras-training-serving
Code that accompanies my blogpost on training and serving with tf.keras - published on TensorFlow's Medium page: https://medium.com/tensorflow/training-and-serving-ml-models-with-tf-keras-fd975cc0fa27
satsumas/learn_tensorflow
mapping out tensorflow and keras
satsumas/lucid
A collection of infrastructure and tools for research in neural network interpretability.
satsumas/Machine-Learning-Projects
Machine Learning Experiments and Work
satsumas/microservices-demo
Deployment scripts & config for Sock Shop
satsumas/modeldb
A system to manage machine learning models
satsumas/models
Models and examples built with TensorFlow
satsumas/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
satsumas/site
Jekyll personal site
satsumas/sympy
A computer algebra system written in pure Python
satsumas/sympy_doc
SymPy Documentation repository
satsumas/trading_stats
Performance statistics for your GDAX trading algorithms. Useful for monitoring programmatic BTC trading.