You will get a distributed Machine learning model
Project details
Will implement training with multi-gpu needs. Possible scenarios are hyper parameter training, distributed model training, etc
What's included
| Service Tiers |
Starter
$550
|
Standard
$750
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 14 days | 30 days | 60 days |
Number of Revisions | 2 | 4 | 4 |
Number of Model Variations | 5 | 5 | 5 |
Number of Scenarios | 3 | 3 | 2 |
Model Validation/Testing | - | ||
Model Documentation | |||
Data Source Connectivity | - | - | - |
Source Code |
14 reviews
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RV
Raj V.
Jul 14, 2024
Test and deploy an open-source Pytorch / Python library on a GPU
Incredible work across the board. Solved very challenging problems and was very self sufficient.
LA
Luke A.
Jun 12, 2024
PySpark + PyTorch Expert to help scale model
AC
Ahmet C.
Oct 20, 2023
HAR DATASET should be analyzed with CNN and some improvements only PYTORCH colabs
AC
Ahmet C.
Feb 7, 2023
Music Genre Recognition with only pytorch
he is really on time and professional
RW
Rebecca W.
Jan 2, 2023
Data Annotator for ML on Code
Completes tasks on time or ahead of schedule.
Willing to receive feedback on the quality of machine learning intent annotations and then incorporate improvements.
Works well independently or with a team.
Able to wrangle large datasets and create complex exploratory data analysis utilizing multiple Pandas API calls.
Willing to receive feedback on the quality of machine learning intent annotations and then incorporate improvements.
Works well independently or with a team.
Able to wrangle large datasets and create complex exploratory data analysis utilizing multiple Pandas API calls.
About Samiul
Machine learning Engineer
Dhaka, Bangladesh - 12:07 pm local time
Steps for completing your project
After purchasing the project, send requirements so Samiul can start the project.
Delivery time starts when Samiul receives requirements from you.
Samiul works on your project following the steps below.
Revisions may occur after the delivery date.
GPU server setup
Model implementation