This is stars and forks stats for /microsoft/AutoBrewML repository. As of 02 May, 2024 this repository has 24 stars and 32 forks.
Traditional machine learning model development is resource-intensive, requiring significant domain/statistical knowledge and time to produce and compare dozens of models. With automated machine learning, the time it takes to get production-ready ML models with great ease and efficiency highly accelerates. However, the Automated Machine Learning does not yet provide much in terms of data preparation and feature engineering. The AutoBrewML framework tries to solve this problem at scale as well as...
Traditional machine learning model development is resource-intensive, requiring significant domain/statistical knowledge and time to produce and compare dozens of models. With automated machine learning, the time it takes to get production-ready ML models with great ease and efficiency highly accelerates. However, the Automated Machine Learning does not yet provide much in terms of data preparation and feature engineering. The AutoBrewML framework tries to solve this problem at scale as well as...
| repo | techs | stars | weekly | forks | weekly |
|---|---|---|---|---|---|
| udacity/self-driving-car | Jupyter NotebookC++Python | 6.1k | 0 | 2.1k | 0 |
| talkpython/100daysofcode-with-python-course | Jupyter NotebookPythonHTML | 2k | 0 | 1.1k | 0 |
| KAIST-VCLAB/SparseEllipsometry | MATLABPythonC | 19 | 0 | 6 | 0 |
| kuutamolabs/kuutamod | NixRustPython | 15 | 0 | 7 | 0 |
| BankSecurity/Red_Team | PowerShellBatchfileVBScript | 1.5k | -1 | 365 | -1 |
| tensorflow/tfjs-models | TypeScriptJupyter NotebookJavaScript | 13.2k | 0 | 4.2k | 0 |
| larry-nomad/vimconf | Vim ScriptPythonOther | 3 | 0 | 0 | 0 |
| fslongjin/This-repo-has-245-stars | PythonTypeScriptC# | 1.4k | 0 | 41 | 0 |
| fslongjin/This-repo-has-253-stars | PythonTypeScriptC# | 1.4k | 0 | 41 | 0 |
| fslongjin/This-repo-has-256-stars | PythonTypeScriptC# | 1.4k | 0 | 41 | 0 |