machinescape Goto Github PK

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

awesome-project-ideas

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

basic_repo

Learning how to pull, commit etc

bdd

Data-Intensive International Development, U.C. Berkeley, Spring 2017

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

cs224n-2019

My completed implementation solutions for CS224N 2019

cs224n-2019-solutions

Complete solutions for Stanford CS224n, winter, 2019

cuml

cuML - RAPIDS Machine Learning Library

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

docker-for-data-science-tutorial

Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH

econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

fastapi-ml-quickstart

finalcapstone

generallinearmodels

gensim

Topic Modelling for Humans

git-demo

Still Threading Carefully

git_practice

Embedding git skills

git_practice_archive

githubrepoassignment

hello-world

First repository. Would fill with baby language!

java

All Algorithms implemented in Java

linearmodel

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

makani

Makani was a project to develop a commercial-scale airborne wind turbine, culminating in a flight test of the Makani M600 off the coast of Norway. All Makani software has now been open-sourced. This repository contains the working Makani flight simulator, controller (autopilot), visualizer, and command center flight monitoring tools. Additionally, almost all avionics firmware is also included, albeit potentially not in a buildable state, due to the removal of some third-party proprietary code. We hope that this code will be inspirational and useful to the kite-based windpower and wider communities.

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

ml-react-app-template

This is a template for creating a Machine Learning application with its front-end developed using React which interacts with a Flask service as the back-end and makes predictions.

ml_class

ML Models - Testing and Learning Ground

models

ML Models Created to Solve Specific Problems

my-movie-recommender

Personal movie recommender system and a research sandbox