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training-optimization

Here are 4 public repositories matching this topic...

Ultron09 / Mirror_mind

A production-ready adaptive meta-learning framework for continuous self-improvement. airbornehrs (MirrorMind) is a lightweight PyTorch framework that turns standard deep learning models into self-improving systems.

machine-learning deep-neural-networks deep-learning transformers agi python3 openai seal python-package reptile maml reptitle maml-algorithm training-optimization self-evolving-systems self-evolving-ai suryaansh reptile-openai

Updated Jan 7, 2026
Python

clementapa / English_Language_Learning_NLP_Transformers

For me, the goal of this project was to handle transformers fine tuning by implementing and applying optimization training techniques using limited computational resources.

python nlp deep-learning regression pytorch transformer fine-tuning pytorch-lightning training-optimization

Updated Sep 3, 2023
Python

JonSnow1807 / gradient-cache

GPU memory-efficient training for PyTorch - 90%+ memory savings through gradient compression

machine-learning deep-learning pytorch neural-networks gpu-memory memory-optimization gradient-compression training-optimization

Updated Aug 6, 2025
Python

Pfleiderer-Adrian / HybridSampleGeneration

This repository implements a hybrid sample generation pipeline for imaging data to extend existing training datasets.

deep-learning artificial-intelligence medical-imaging convolutional-variational-autoencoder training-optimization synthetic-anomaly hybrid-samples

Updated Jan 7, 2026
Python

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