Dollar Cost Averaging with optimisations to minimise risk and maximise profit (Binance/Kraken/FTX)

Automate Kubernetes cluster cost optimisations

Gradient Boosting Models on Real-Time Sensor Data for AI-Enhanced Vehicle Predictive Maintenance. By using a web-based interface to forecast maintenance requirements and part failure probabilities, proactive fleet management, cost optimisation, and efficient transportation are made possible.

Provides a detailed dashboard for viewing Amazon WorkSpaces usage and provides scripts to facilitate billing mode conversions to reduce costs.

🧠 💡 📈 A project based in High Performance Computing. This project was built using CUDA (Compute Unified Device Architecture), C++ (C Plus Plus), C, CMake and JetBrains CLion. The scenario of the project was a GPU-based implementation of the Self-Organising-Maps (S.O.M.) algorithm for Artificial Neural Networks (A.N.N.), with the support of CUDA (Compute Unified Device Architecture), using its offered parallel optimisations and tunings. The final goal of the project was to test the several GPU-based implementations of the algorithm against a given CPU-based implementation of the same algorithm and, evaluate and compare the overall performance (speedup, efficiency and cost).

Aggregate trusted advisor data for cost optimisation checks

Generalising Random Forest Parameter Optimisation to Include Stability and Cost

Generalization and optimisation of quantum machine learning with quantum geometric principles. Estimate resource cost for training and generalization for variational learning of unitaries.

Recent advancements in Cybergenetics have lead to the development of new computational and experimental platforms that enable to robustly steer cellular dynamics by applying external feedback control. Such technologies have never been applied to regulate intracellular dynamics of cancer cells. Here, we show in silico that Adaptive Model Predictive Control (MPC) can effectively be used to steer signalling dynamics in Non-Small Cell Lung Cancer (NSCLC) cells to resemble those of wild-type cells, and to support the design of combination therapies. Our optimisation-based control algorithm enables tailoring the cost function to force the controller to alternate different drugs and/or reduce drug exposure, minimising both drug-induced toxicity and resistance to treatment. Our results pave the way for new cybergenetics experiments in cancer cells for drug combination therapy design - https://doi.org/10.1101/2022.03.14.484268

The aim of this research project was to optimize the communication cost in Federated Learning through techniques like Compressed Sensing, which can be used to save significant amounts of data acquired by companies such as Google, Microsoft etc. that use Federated Learning. Achieved a data reduction of 46.875% with a global accuracy of 97.36%

Power Grid Aware Single Phase Electric Vehicle Scheduling Using Cost Optimisation

This repository contains Python code for the Cost-benefit Optimisation Framework for Implementing blue-Green infrastructURE (CONFIGURE) version 1.0

No description available

Free AWS cost monitoring for personal accounts. View daily spending from terminal without expensive Cost Explorer API. Perfect for personal accounts. Haskell/Nix

Cost-effective GPU workload optimisation on AWS using Kubernates and Spot Instances. Run AI workloads efficiently without breaking the bank!

Add cost centres after optimisation

Cost-Aware Multi-Objective Bayesian Optimisation

A sofware solution to optimise the charging time of electric vehicles, reducing charging cost, and enhancing user experience using Genetic algorithm.

A machine learning and optimisation library in go lang. Can optimise various models such as Neural Network, Logistic Regression, Softmax Regression. If a model is not present, just provide the Cost function and Gradient function to implement the required 'NN_Base' interface.

On the track of seeking digitalised lifestyle India features more connected community, counts largely on digital devices & demands instant access to the data. With the expansion of digital era everyone ranges from an individual to an organization need for their own ‘space’. It is this requirement of server hosting, either it is shared hosting or dedicated server hosting & smooth functioning of an online economy that there emerges a need for a zone of Data Center in India. Facts & Figures- If we look at the practical aspects India’s data centre capacity is expected to reach 6.6 million sq.ft. within 4 years. With approximately 150 million citizens collectively consuming a large amount of data & 50+ million small to medium businesses and entrepreneurs India is becoming a focal point for the cyber economy. Why India? Where India’s demographics are the most talked about all around the world, it’s now the most wanted for establishing data centre units. Several crucial factors like climate, infrastructure, privacy, legislation & environment are responsible in decision making for the data centre accommodation. Not only these but skilled & qualified workforce with cheap labour cost, high end infrastructures & flexibility towards latest technology along with 24x7x365 dedicated support & services provided by Indians, compels even the big international names to make India their first choice as a data centre hub. Factors responsible for growth of data centers in India Data centres have to achieve & perform continuously at peak levels of efficiency, agility, reliability & cost optimisation. It has to establish a structured, unified cable management system that keeps cabling and connection properly stored & organised, easy to locate & access, and simple to reconfigure. Hence they are focused for ensuring robustness and resiliency for 24x7 operations without any hassles which provides greater quality of connection counts, redundant power feeds, backup generators, UPS power systems, cooling system, security etc. With these characteristics data centres in India get to meet the zero error targets and thereby India responses to the growth of data centres. Data centres comprising of dedicated server hosting, virtual private hosting, cloud hosting, collocation services & lot more is expanding its periphery on the Indian land. Out of which RackBank is proud to be the first data centre of Central India. Soon India will be not only a topic of cultural interest but of technical interest as well. Author- Melissa Caddy Website- https://www.rackbank.com/

No description available

No description available

In this I created a Lambda function that identifies EBS snapshots that are no longer associated with any active EC2 instance and deletes them to save on storage costs.

No description available

A professional AWS cost optimisation dashboard.

No description available

No description available

No description available

just another troll *board* with zero cost optimisation

DE4 Optimisation Group 11 - minimising cost for a skateboard