sab's Stars
codalab/codabench
Codabench is a flexible, easy-to-use and reproducible benchmarking platform. Check our paper at Patterns Cell Press https://hubs.li/Q01fwRWB0
Cloud-CV/EvalAI
:cloud: :rocket: :bar_chart: :chart_with_upwards_trend: Evaluating state of the art in AI
toeverything/AFFiNE
There can be more than Notion and Miro. AFFiNE(pronounced [ə‘fain]) is a next-gen knowledge base that brings planning, sorting and creating all together. Privacy first, open-source, customizable and ready to use.
appmetrica/appmetrica-sdk-android
AppMetrica SDK for Android
ytsaurus/ytsaurus
YTsaurus is a scalable and fault-tolerant open-source big data platform.
yandex/YaLM-100B
Pretrained language model with 100B parameters
ydb-platform/ydb
YDB is an open source Distributed SQL Database that combines high availability and scalability with strong consistency and ACID transactions
bourbaki/catboost-go
Catboost Go Wrapper
xCounsel/kardamon
Kardamon is a source of legal issues related to domain names in Russia. See also about the database in /Premium section
conda-forge/r-catboost-feedstock
A conda-smithy repository for r-catboost.
shap/shap
A game theoretic approach to explain the output of any machine learning model.
catboost/tutorials
CatBoost tutorials repository
josephmisiti/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
minerva-ml/open-solution-toxic-comments
Open solution to the Toxic Comment Classification Challenge
ofek/pypinfo
Easily view PyPI download statistics via Google's BigQuery.
jantman/pypi-download-stats
ABANDONED - Calculate detailed download stats and generate HTML and badges for PyPI packages
ClimbsRocks/auto_ml
[UNMAINTAINED] Automated machine learning for analytics & production
yandex/CMICOT
Efficient feature selection method based on Conditional Mutual Information.
rviscomi/red-dwarf
Google Maps heatmap of GitHub repository stargazers
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
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.
openenergymonitor/emoncms3
Archived. See https://github.com/emoncms/emoncms for latest version of emoncms.