Sign in
← Back to search
github Active

Repository profile

stanfordmlgroup/ngboost

Natural Gradient Boosting for Probabilistic Prediction

Jupyter Notebook Apache-2.0 master Stack scanned README.md
Sign in to like stanfordmlgroup/ngboost
Open GitHub
Stars
1,886
Forks
252
Watchers
40
Issues
50
Commits
739
Awesome lists
1

Repository updates

Follow repository updates

Get generated stanfordmlgroup/ngboost development summaries by email, or follow the weekly and monthly RSS feeds.

Weekly RSS Monthly RSS

Sign in to subscribe by email. RSS feeds are public.

Sign in to subscribe

Activity and growth

Tracked growth, recent movement, and commit velocity from stored repository snapshots.

Latest capture 2026-07-08 03:03

Star growth, last 7 days
No 7-day history
Commit velocity, last 7 days
No 7-day history
Stars since baseline
+11
Snapshot coverage
6

Tracked growth

6 captures since 2026-05-22

Stars from baseline +11

Time horizon

All tracked data

Stars history

Total stars

Commits history

Default branch commits

Detected stack

Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.

Scanned 2026-07-08 03:03

Stack signals
1
Package managers
3
Manifest files
6
Dependencies
147

Frameworks and tools

  • pytest test framework · high confidence
Bundler pip Poetry python ruby

Dependency files

6 manifests
  • pyproject.toml python ecosystem, 15 dependencies
  • setup.cfg python ecosystem, 0 dependencies
  • docs/requirements.txt python ecosystem, 8 dependencies
  • examples/user-guide/Gemfile ruby ecosystem, 9 dependencies
  • examples/user-guide/requirements.txt python ecosystem, 8 dependencies
  • examples/user-guide/Gemfile.lock ruby ecosystem, 107 dependencies

Classification

Searchable topics, generated tags, and stack labels that explain where this repository fits.

Topics
6
Tags
0
Stacks
1

Topics

#gradient-boosting #machine-learning #natural-gradients #ngboost #python #uncertainty-estimation

Generated tags

No generated tags yet.

Stack labels

pytest

AI development signals

Agent instructions and tool configuration paths found in the repository tree.

0 paths
No AI development config files detected.

Similar repositories

Nearest indexed repositories by embedding similarity.

dmlc/xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

28,561 stars
C++ 4 awesome lists

catboost/catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

9,025 stars
C++ 4 awesome lists

lightgbm-org/LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

18,569 stars
C++ 3 awesome lists

Nixtla/neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

4,188 stars
Python 1 awesome list

Metadata

Language
Jupyter Notebook
License
Apache-2.0
Default branch
master
Created
2018-06-21
First commit
2018-06-21
Last pushed
2026-07-01
GitHub updated
2026-07-01
Last synced
2026-07-08 03:03
Stack detected
2026-07-08 03:03
Archived
no

Links and files

GitHub README

Appears in

1