Pinned Repositories
Alink
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
ansible-cassandra
Ansible provisioning/maintenance tasks for Cassandra
ansible-dse
Ansible playbooks for deploying DataStax Cassandra
ashpy
TensorFlow 2.0 library for distributed training, evaluation, model selection, and fast prototyping.
Atom-Projects
azure-resource-manager-dse
Azure Resource Manager templates for DataStax Enterprise
Cassandra-Primary-Key-Exercise
Short exercise to understand how Cassandra primary key definitions enable query capabilities
DataStaxDay
Hands on logistics for DataStax Day 2/11/2016
robotoil's Repositories
robotoil/Alink
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
robotoil/ashpy
TensorFlow 2.0 library for distributed training, evaluation, model selection, and fast prototyping.
robotoil/Atom-Projects
robotoil/coursera-machine-learning-solutions-python
A repository with solutions to the assignments on Andrew Ng's machine learning MOOC on Coursera
robotoil/detecto
Computer vision in Python with less than 10 lines of code
robotoil/docs
TensorFlow documentation
robotoil/dxapikit
Delphix API toolkit
robotoil/educate-resource-for-machine-learning
This ebook from Jason Brownlee. Educational perpose only! Thanks to Jason for the books.
robotoil/gpt-2-tensorflow2.0
OpenAI GPT2 pre-training implementation in Tensorflow 2.0
robotoil/gpt-3
GPT-3: Language Models are Few-Shot Learners
robotoil/Graph-Demo
How to build a DataStax Graph demo using Node.js and vis.js
robotoil/graph-examples
robotoil/keras-bucket-tensorboard-callback
A Keras Callback that uploads your Tensorboard logs to a Cloud Bucket
robotoil/KerasUI
UI for Keras to implement image classification written in python and django
robotoil/kubecon2022-demo
robotoil/linear_regression
robotoil/LLMs-from-scratch
Implementing a ChatGPT-like LLM from scratch, step by step
robotoil/machine-learning-project-walkthrough
An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!
robotoil/Math_by_Richard_Feynman
A repo of curated links to Math lectures by Prof. Richard Feynman
robotoil/memcached
memcached development tree
robotoil/ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
robotoil/MultivariateTimeseries_TF
Multivariate LSTM for timeseries of interestingness scores
robotoil/NLP
Natural Language Processing
robotoil/optimizer-visualization
Visualize Tensorflow's optimizers.
robotoil/pythoncode-tutorials
The Python Code Tutorials
robotoil/SentimentAnalysis
Sentiment analysis neural network trained by fine tuning BERT on the Stanford Sentiment Treebank.
robotoil/studio
GUI for Keras and TensorFlow with integrated hyperparameter optimization and NLP
robotoil/TensorFlow-LiveLessons
"Deep Learning with TensorFlow" LiveLessons
robotoil/tensorflow2.0-examples
Jupyter notebooks to help you started with tensorflow 2.0
robotoil/Test