GdMacmillan
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Machine Learning Toolkit for Kubernetes
This repository aims to develop a step-by-step tutorial on how to build a Kubeflow Pipeline from scratch in your local machine.
TensorFlow for macOS 11.0 accelerated using Apple's ML Compute framework.
The world’s fastest framework for building websites.
Unscented kalman filter (UKF) library in python that supports multiple measurement updates
State estimation, smoothing and parameter estimation using Kalman and particle filters.
jupyter notebook explaining basic operations with juliaDB and a use case involving in memory and out of core processing on a large group of files.
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
NASA/JPL sponsored project to create an AI planning system to allow autonomous task scheduling by spacecrafts.
A tool for visualizing the structure and performance of Random Forests 🌳
Kaggle | 9th place single model solution for TGS Salt Identification Challenge
Automated Machine Learning with scikit-learn
Fast, flexible and easy to use probabilistic modelling in Python.
Code for my paper "Fixed-Form Variational Posterior Approximation through Stochastic Linear Regression"
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
⚡ A Fast, Extensible Progress Bar for Python and CLI
andreaazzini / multidensenet
Forked from bamos/densenet.pytorchA PyTorch implementation of DenseNet, supporting multiclass and multilabel classification.
pytorch Convolutional Networks for Sentence Classification - http://www.aclweb.org/anthology/D14-1181
Convolutional Neural Network for Text Classification in Tensorflow
Resources for deploying JupyterHub to a Kubernetes Cluster
Setup and customize deep learning environment in seconds.
Shell Script for configuring and launching a Jupyter server on an AWS instance