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1.
▲
Show HN: MLEM – ML model deployment tool
24 points
aguschin
4 years ago
11 comments
2.
▲
Show HN: I Open-Sourced a Code Generator and Runtime for React Web Apps
2 points
Meeboto
a year ago
2 comments
3.
▲
Python3 module to simulate recursion with iteration
2 points
carlosplanchon
7 years ago
discuss
4.
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DataChain: DBT for Unstructured Data
(github.com/iterative)
163 points
shcheklein
2 years ago
26 comments
5.
▲
ML Experiments Management with Git
(github.com/iterative)
112 points
shcheklein
3 years ago
30 comments
6.
▲
Show HN: TPI – Terraform provider for ML and self-recovering spot-instances
(github.com/iterative)
12 points
dmpetrov
4 years ago
4 comments
7.
▲
Open source tool to package and deploy models
(github.com/iterative)
9 points
shcheklein
4 years ago
discuss
8.
▲
Log and track ML metrics, parameters, models with Git and DVC
(github.com/iterative)
7 points
shcheklein
3 years ago
3 comments
9.
▲
IdeaMachine: a generative grammar for fun and profit
(github.com/iterationlabs)
7 points
tectonic
15 years ago
discuss
10.
▲
DataChain: Open-source tool to prepare and curate data for AI/ML
(github.com/iterative)
5 points
shcheklein
2 years ago
1 comment
11.
▲
Show HN: Silverlining – My SoundCloud CLI for OS X
(github.com/iterati)
4 points
iterati
12 years ago
discuss
12.
▲
CML: CI/CD for Machine Learning Projects
(github.com/iterative)
4 points
shcheklein
3 years ago
discuss
13.
▲
Terraform Provider for Machine Learning
(github.com/iterative)
4 points
shcheklein
4 years ago
discuss
14.
▲
Data Version Control: Git for Data and Models
(github.com/iterative)
4 points
kevlar1818
7 years ago
discuss
15.
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DVC: Data and models versioning for ML projects
(github.com/iterative)
4 points
adamnemecek
7 years ago
discuss
16.
▲
Using VSCode to track and visualize AI experiments
(github.com/iterative)
3 points
shcheklein
a year ago
discuss
17.
▲
Using VS Code to track and visualize ML experiments
(github.com/iterative)
3 points
shcheklein
2 years ago
discuss
18.
▲
DataChain: Prepare and curate datasets for AI/ML
(github.com/iterative)
3 points
shcheklein
2 years ago
discuss
19.
▲
Terraform plugin for machine learning workloads
(github.com/iterative)
3 points
shcheklein
4 years ago
discuss
20.
▲
Ruby port of Arc90's Readability
(github.com/iterationlabs)
3 points
tectonic
16 years ago
discuss
21.
▲
DataChain: A Pythonic data-frame library for artificial intelligence
(github.com/iterative)
2 points
mayop100
2 years ago
1 comment
22.
▲
DVC Extension for Visual Studio Code
(github.com/iterative)
2 points
shcheklein
a year ago
discuss
23.
▲
Using VS Code to track and visualize ML experiments
(github.com/iterative)
2 points
shcheklein
a year ago
discuss
24.
▲
CML: Continuous Machine Learning CI/CD for ML
(github.com/iterative)
2 points
shcheklein
2 years ago
discuss
25.
▲
ML experiments tracking with Git and VS Code
(github.com/iterative)
2 points
shcheklein
2 years ago
discuss
26.
▲
DataChain: Prepare and curate datasets for AI/ML
(github.com/iterative)
2 points
shcheklein
2 years ago
discuss
27.
▲
DataChain: Prepare and curate datasets for AI/ML
(github.com/iterative)
2 points
shcheklein
2 years ago
discuss
28.
▲
Machine learning experiment tracking and data versioning for VS Code
(github.com/iterative)
2 points
shcheklein
3 years ago
discuss
29.
▲
Open Source port of Readability to Ruby
(github.com/iterationlabs)
2 points
phreeza
14 years ago
discuss
30.
▲
MLEM: Open-source tool to package, serve, and deploy ML models on any platform
(github.com/iterative)
2 points
shcheklein
3 years ago
discuss
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