Accelerate Deep Learning Workloads with Amazon SageMaker, published by Packt
☆16Mar 2, 2026Updated 5 months ago
Alternatives and similar repositories for Accelerate-Deep-Learning-Workloads-with-Amazon-SageMaker
Users that are interested in Accelerate-Deep-Learning-Workloads-with-Amazon-SageMaker are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Learn how you can use the power of cloud services for your own machine learning and artificial intelligence projects☆13Oct 31, 2018Updated 7 years ago
- A Flask API to deploy machine learning models☆18Apr 23, 2020Updated 6 years ago
- ☆18Nov 27, 2020Updated 5 years ago
- ☆15Sep 14, 2021Updated 4 years ago
- XIRR (using Python) to calculate return on investments done at different time periods which need not be periodic.☆15Oct 3, 2020Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- The Regularization Cookbook, published by Packt☆16Mar 2, 2026Updated 5 months ago
- Implement different variants of gradient descent in python using numpy☆11Apr 23, 2019Updated 7 years ago
- Multi-factor Risk Models of Asset or Portfolio Returns☆10May 4, 2021Updated 5 years ago
- Dashboard showcasing Conjoint Analysis for the Electric Vehicle Lease Market (as at January 2020) in San Francisco☆15Feb 19, 2020Updated 6 years ago
- This project is focused on the Deployment phase of machine learning. The Docker and FastAPI are used to deploy a dockerized server of tra…☆28Jan 7, 2023Updated 3 years ago
- Flexible and transparent Python Boruta implementation☆16Jun 8, 2025Updated last year
- In this notebook, we will create an AI and time serie driven forecasting engine based on a set of 5 AI models and 5 time series models an…☆14Jun 12, 2021Updated 5 years ago
- ☆11Jan 4, 2023Updated 3 years ago
- In this article, you will learn how to set up a real-time data processing and analytics environment using Docker, MySQL, Redpanda, MinIO,…☆11Jun 27, 2023Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A python library for generating macro-economic scenarios☆11Dec 17, 2024Updated last year
- Project by Maria-Theresa and Mario☆11May 13, 2021Updated 5 years ago
- riskpy: usefull tools for risk analysts and not only☆12Aug 26, 2021Updated 4 years ago
- Collection of Tools for PD Rating Model Development and Validation☆17Dec 9, 2025Updated 8 months ago
- Hacker stuff no more data camps for you☆13Jan 18, 2023Updated 3 years ago
- Kaggle 필사☆11Feb 9, 2020Updated 6 years ago
- The code of Unsupervised Few-Shot Image Classification by Learning Features into Clustering Space☆15Jul 12, 2022Updated 4 years ago
- The code from my codementor office hours on an introduction to machine learning and natural language processing☆18Feb 5, 2015Updated 11 years ago
- Provide clean macroeconomic time series as CSV files at stable URL☆11Sep 11, 2018Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- 코딩테스트 대비 알고리즘 및 SQL 스터디입니다.☆16Oct 10, 2023Updated 2 years ago
- Source code for 'Practical Business Analytics Using SAS' by Shailendra Kadre and Venkat Reddy Konasani☆10Mar 28, 2017Updated 9 years ago
- Monotonic Optimal Binning algorithm is a statistical approach to transform continuous variables into optimal and monotonic categorical va…☆22May 31, 2026Updated 2 months ago
- ☆14Jul 1, 2017Updated 9 years ago
- This repository contains SAS code for Credit card Scoring Model to predict future default(bad) customers☆12Dec 20, 2016Updated 9 years ago
- This is some work on option prcing and greeks calculation for dynamic hedge. These functions are numerical pricing methods employed to re…☆18Feb 3, 2021Updated 5 years ago
- Bayesian Estimation of the GARCH(1,1) Model with Student-t Innovations☆16Updated this week
- HSE FES Probability Theory Club repo☆22Mar 14, 2026Updated 5 months ago
- Computation of bond value☆12Nov 14, 2020Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Predict earthquake rupture probability with bayesian deep learning☆15Aug 1, 2019Updated 7 years ago
- Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any databa…☆15Jun 18, 2026Updated last month
- This project focuses on time series forecasting to predict store sales for Corporation Favorita, a large Ecuadorian-based grocery retaile…☆19Dec 4, 2023Updated 2 years ago
- ☆17Oct 9, 2023Updated 2 years ago
- This is the repository containing machine learning and deep learning projects, as well as some presentation slides on these topics.☆10May 20, 2024Updated 2 years ago
- ☆14Apr 24, 2024Updated 2 years ago
- ☆15Sep 9, 2023Updated 2 years ago