DataHut

[DataHut @datahutai]

https://t.co/5tR27pDutw December updates, with three new projects: DiCE (explainability), Daft (DataFrame), and Polars (DataFrame). Happy Holidays!
#BigData #DataScience #MachineLearning #OpenSource

[DataHut @datahutai]

https://t.co/5tR27pUxvw October updates are up now! We are tracking four new projects: AutoGluon, GluonTS, Torchvision, and Seldon Core. #machinelearning #datascience #bigdata

[DataHut @datahutai]

https://t.co/5tR27pDutw September updates -- latest statistics on the most important data science and data engineering projects. Also, now tracking Uber's Orbit, a framework for Bayesian Forecasting. #machinelearning #datascience #dataengineering

[DataHut @datahutai]

Check out the https://t.co/5tR27pUxvw July update! In addition to the latest project statistics, we have a new project, Shap, a key library for explainability in machine learning. #DataScientists #MachineLearning #OpenSource

[DataHut @datahutai]

May the 4th be with you! We are happy to announce the https://t.co/5tR27pUxvw May update. For this update, we have a new category, Anomaly Detection, and are tracking five additional projects: Feathr, Shapash, PyGOD, PyOD, and TODS.
#OpenSource #DataScience #MachineLearning

[DataHut @datahutai]

NetworkX 2.7 is available: https://t.co/oCOlvxJtd1

[DataHut @datahutai]

Ray 1.10: Windows support beta, enhanced job submission, and more https://t.co/faEVi2zvpY via @anyscalecompute

[DataHut @datahutai]

RAPIDS released a new update: https://t.co/VmKhynb0ar

[DataHut @datahutai]

#WomenInScience March updates are here: https://t.co/tbSTmAjKa6

#DataScience #MachineLearning #OpenSource

[TensorFlow @TensorFlow]

TensorFlow 2.8.0 has been released!

Versions 2.5.3, 2.6.3, 2.7.1 & 2.8.0 provide more bug fixes and improvements.

Read what’s new ↓
https://t.co/MhD0pQyooZ

[DataHut @datahutai]

pandas released v1.4. Check it out on:https://t.co/ZFGx7ssSfH

#DataScience #OpenSource

[DataHut @datahutai]

Our February updates are here: https://t.co/tbSTmABToe
Find out which #OpenSource #DataScience projects moved up.

[DataHut @datahutai]

Happy New Year!
New year, new updates to #DataScience #OpenSource projects. See our latest tracking at https://t.co/tbSTmAjKa6

[Johannes Köster (@johanneskoester.bsky.social) @johanneskoester]

Version 6.7 of the workflow management system #Snakemake is released. It provides direct integration with @rustlang scripts: this allows your data analysis steps to be much faster and more robust. https://t.co/6KQPJA25oW #sciworkflows #reproducibility (1/2)

[DataHut @datahutai]

#Opensource DataWorkspaces https://t.co/SH4U0vRdK8 now supports snapshot and restore for S3 buckets.

#DataScience #MachineLearning

[DataHut @datahutai]

Just updated with the latest stats for August: https://t.co/tbSTmAjKa6 Check out your favorite projects.

#Opensource #DataScientists #BigData #AI

[PyTorch @PyTorch]

PyTorch Profiler 1.9 has released five major features including:
- a distributed training view
- a memory view
- GPU utilization visualization
- cloud storage support
- jump to source code

Learn more here: https://t.co/Y8opwXkWx2

[Lightning AI ⚡️ @LightningAI]

⚡️ Today, we are thrilled to announce Lightning 1.4!

📣 Introducing support for TPU pods, XLA profiling, IPUs, and new plugins to reach 10+ billion parameters, including Deep Speed Infinity, Fully Sharded Data-Parallel, and more!

👉 Learn More: https://t.co/QsSbDZ0VX5

[ray @raydistributed]

🎉🍾🥳 Ray 1.5 is out!

Featuring:
- Ray Datasets now in alpha
- LightGBM on Ray in beta
- The Ray cluster launcher now has support for launching clusters on Aliyun
- RLlib added an improved "input API" for customizing offline datasets

Learn more ⬇️
https://t.co/PBuieHmjW2