Training Experiment · Python

ORBIT-all

Pop Alexandru@pop123-ux · Atlas 70.7 · #4= builder

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What it is

ORBIT-all is a research repository implementing a function-aware optimizer for language model training, complete with a custom transformer-like model, experiment harness, and detailed protocol for ablation studies and validation.

Scored from the code at its last scan, 18 Oct 2026. How merit is scored

Where it counts

Machine Learning90%
NLP & LLMs80%
MLOps10%

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

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2ORBITLibrary / Framework · PythonThe ORBIT repository provides a Python implementation of the ORBIT optimizer for transformer models with rotary positional embeddings. It includes the optimizer, adapters for external models, baselines, training scripts, and detailed documentation for reproduction and use.67.4/100AdvancedPop AlexandruMachine Learning
3, shared rankmodded-GLM-5.3-flash-from-scratchEducational Implementation · PythonThe repository is an educational implementation of a hybrid-attention Mixture-of-Experts language model, complete with training scripts, evaluation tools, and theory notebooks for learning and experimentation.66.0/100AdvancedPop AlexandruMachine Learning
3, shared rankORBIT-allTraining Experiment · Python66.0/100AdvancedPop AlexandruMachine Learning
05trot-livive-netEducational Implementation · RustTROT is an educational implementation of a tiny neural network written from scratch in Rust, featuring hand-written forward and backward passes, deterministic data generation, and ONNX export with runtime verification, designed to teach the fundamentals of machine learning…65.5/100AdvancedJarad PeckenpaughMachine Learning
06, shared rankcamera505ML Application · PythonThe repository presents an end-to-end physiological monitoring system that processes ECG and audio signals using a multimodal transformer and adaptive baseline for real-time apnea detection, with a mobile and desktop frontend.64.6/100Advancedvlad andreiMachine Learning

What it is

Where it counts

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