ML Application · Jupyter Notebook

generative-lbracket

karims@karims · Atlas 67.7 · #7= builder

What it is

The repository provides an end-to-end workflow for parametric L-bracket design, using C#/PicoGK to generate a dataset, training surrogate regression models (Random Forest, MLP) in Python, and applying Optuna to minimize predicted mass via generative design.

Scored from the code at its last scan, 24 Oct 2026. How merit is scored

Where it counts

Machine Learning85%
Data Science60%
MLOps10%
Computer Vision5%

How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.

Around it on the Machine Learning board

Whole board

RankProjectBuilderFieldMerit

43AgroADASML Application · PythonThe AgroADAS repository provides an end-to-end system for agricultural machinery guidance, including data collection, training of a multi-task segmentation and waypoint prediction model, and C++ inference for real-time deployment.52.6/100ImplementationSuceveanu Mircea Dan SanduMachine Learning
44ml-from-scratchEducational Implementation · Jupyter NotebookThis repository contains from-scratch NumPy implementations of K-Nearest Neighbors, linear regression, and logistic regression, each with a README explaining the algorithm and usage, and a notebook demonstrating training and evaluation for linear regression.51.9/100ImplementationPop AlexandruMachine Learning
45generative-lbracketML Application · Jupyter Notebook50.9/100ImplementationkarimsMachine Learning
46PumpPerfect-PandasAIML Application · PythonPumpPerfect-PandasAI is a Dockerized web application built with FastAPI and Next.js for analyzing insulin pump and CGM data, featuring pandasai-powered natural language queries and Prophet/RandomForest glucose prediction models.50.6/100ImplementationPetr SovadinaMachine Learning
47VISTAArchitecture Modification / Research · Jupyter NotebookVISTA is a video object detection framework that augments standard detection architectures (DETR, YOLO, SSD) with optical flow-based motion features and a staticness branch to improve detection of moving and static objects. It provides training scripts for three variants and…50.4/100ImplementationSuceveanu Mircea Dan SanduMachine Learning

What it is

Where it counts

Around it on the Machine Learning board

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