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amazon-sagemaker-asynchronous-inference-computer-vision

amazon-sagemaker-build-train-deploy

amazon-sagemaker-examples

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

amazon-sagemaker-local-mode

Amazon SageMaker Local Mode Examples

amazon-sagemaker-script-mode

Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)

arblas

Custom template (partial) implementation of BLAS library as an exercise

cracking-the-coding-interview

:books: Python and C++ solutions with automated unit tests.

dqmc

Diffusion Quantum Monte Carlo for simple atomic potentials

dtpect2015

The link to the website is at

github-issue-templates

:symbols: A collection of GitHub issue and pull request templates

googletest

Google Test

hash-hash

Simple hash table implementation.

machine-learning-systems-design

A booklet on machine learning systems design with exercises

openmp-bench

OpenMP Benchmarks

projecteuler

Project Euler with Python, Java, and C++

snake-pp

This is Snake++! A simple snake game for command prompt written in C++.

sort-bench

Different sorting algorithms and their benchmarks

votenet

Deep Hough Voting for 3D Object Detection in Point Clouds

windml

The windML framework provides an easy-to-use access to wind data sources within the Python world, building upon numpy, scipy, sklearn, and matplotlib. Renewable Wind Energy, Forecasting, Prediction