Library / Framework · Python

AECS-scheduler

Adaptive Event-Control Scheduler (AECS) — a state-aware, event-driven LR scheduler for PyTorch

Rick@JuiceB0xC0de · Atlas 73.3 · #2= builder

What it is

AECS is a PyTorch learning rate scheduler that adjusts the learning rate in real time based on training signals such as gradient norm and loss, switching between four modes (BASELINE, RECOVERY, EXPLORE, STABILIZE) using event-driven logic.

deep-learning
fine-tuning
lr-scheduler
machine-learning
optimizer
pytorch
training
transformers

Scored from the code at its last scan, 22 Oct 2026. How merit is scored

Where it counts

Machine Learning90%
NLP & LLMs40%
MLOps20%

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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1AECS-schedulerLibrary / Framework · Python67.6/100AdvancedRickMachine Learning
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

What it is

Where it counts

Around it on the Machine Learning board

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