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