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1.
▲
Automated ML research, AI drives the process from idea to report
killerstorm.github.io
discuss
a year ago
killerstorm
3 points
2.
▲
Show HN: Provide a CSV and a target field, generate a model and code to run it
github.com/minimaxir
26 comments
7 years ago
minimaxir
172 points
3.
▲
AutoMLPipeline – Create and evaluate machine learning pipeline architectures
github.com/IBM
13 comments
6 years ago
bwidlar
80 points
4.
▲
Show HN: Web App with GUI for AutoML on Tabular Data
github.com/mljar
3 comments
3 years ago
pplonski86
41 points
5.
▲
Show HN: Open-Source Web App with User Interface for AutoML on Tabular Data
github.com/mljar
2 comments
3 years ago
pplonski86
4 points
6.
▲
Show HN: AutoML framework based on Hyperopt and scikit-learn
github.com/onepanelio
discuss
8 years ago
rusht
4 points
7.
▲
Show HN: AutoML Web App Created from Jupyter Notebook
github.com/mljar
discuss
3 years ago
pplonski86
3 points
8.
▲
Google Open-Source's AutoML
github.com/google
discuss
6 years ago
josephjacks
3 points
9.
▲
Show HN: nanoTabPFN – A Lightweight and Educational Reimplementation of TabPFN
github.com/automl
discuss
7 months ago
alextpfefferle
2 points
10.
▲
Supervised learning on tabular data with numeric, categorical, and text columns
github.com/sxjscience
discuss
4 years ago
_jonas
2 points
11.
▲
Code for EfficientNetV2 (Deep Learning model) released
github.com/google
discuss
5 years ago
barbolo
2 points
12.
▲
Automated Machine Learning with scikit-learn
github.com/automl
discuss
6 years ago
jonbaer
2 points
13.
▲
Auto-sklearn: automatic parameter tuning
github.com/automl
1 comment
10 years ago
nickhuh
1 points
14.
▲
Show HN: Automating Feature Engineering with LLMs
github.com/automl
discuss
3 years ago
noahho
1 points
15.
▲
Lion, a new Optimizer from Google, provides 3-5x speedup compared to AdamW
github.com/google
discuss
3 years ago
nico401
1 points
16.
▲
EfficientDet Source Release
github.com/google
discuss
6 years ago
asparagui
1 points
17.
▲
Show HN: Automatic Machine Learning comparison
github.com/mljar
discuss
8 years ago
pplonski86
1 points
18.
▲
LLMs Don't Quite Beat Classical Hyperparameter Optimization Algorithms
github.com/ferreirafabio
2 comments
2 months ago
achierius
4 points
19.
▲
Show HN: Train an AI model on Android without coding, make your own app with it
github.com/OutSorcerer
discuss
4 years ago
OutSorcerer
3 points
20.
▲
Pocket AutoML: No-Code Deep Learning on Android
github.com/OutSorcerer
discuss
5 years ago
OutSorcerer
2 points
21.
▲
Train an AI model on Android without coding, make your own app with it
github.com/OutSorcerer
discuss
4 years ago
OutSorcerer
1 points
22.
▲
Launch HN: MindsDB (YC W20) – Machine Learning Inside Your Database
60 comments
5 years ago
adam_carrigan
176 points
23.
▲
Show HN: Compare AutoML frameworks on 10 Tabular Kaggle competitions
1 comment
5 years ago
pplonski86
2 points
24.
▲
Compare AutoML frameworks on 10 Tabular Kaggle competitions
discuss
5 years ago
pplonski86
1 points
25.
▲
AutoML-Zero: Evolving machine learning algorithms from scratch
github.com/google-research
46 comments
6 years ago
lainon
260 points
26.
▲
AutoML
github.com/google-research
discuss
6 years ago
pfd1986
5 points
27.
▲
Google Research: AutoML-Zero
github.com/google-research
discuss
6 years ago
Anon84
3 points
28.
▲
AutoML toolkit for neural architecture search and hyper-parameter tuning
github.com/Microsoft
59 comments
7 years ago
msalvaris
147 points
29.
▲
Show HN: SapientML – Generative AutoML for Tabular Data
github.com/sapientml
8 comments
3 years ago
ya9do
82 points
30.
▲
Show HN: AutoML Python Package for Tabular Data with Automatic Documentation
github.com/mljar
15 comments
4 years ago
pplonski86
67 points
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