Memory efficient MAML using gradient checkpointing
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Dec 30, 2019 - Jupyter Notebook
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gradient-checkpointing
Here are 6 public repositories matching this topic...
Simple gradient checkpointing for eager mode execution
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Dec 12, 2020 - Python
Python package for rematerialization-aware gradient checkpointing
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Oct 31, 2023 - Python
Python library for memory-constrained activation checkpoint optimization, recomputation scheduling, and GPU training performance analysis.
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Sep 2, 2026 - TypeScript
Gradient checkpointing and VRAM auto-tuning for spiking neural network training. O(sqrt(T)) activation memory with bit-identical gradients.
python deep-learning pytorch gpu-memory spiking-neural-networks neuromorphic memory-optimization gradient-checkpointing bptt snntorch
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Aug 27, 2026 - Python
End-to-end fine-tuning of Hugging Face models using LoRA, QLoRA, quantization, and PEFT techniques. Optimized for low-memory with efficient model deployment
nlp machine-learning natural-language-processing deep-learning transformers pytorch lora quantization model-training fine-tuning peft gpu-optimization huggingface gradient-checkpointing huggingface-datasets qlora bitsandbytes parameter-efficient-fine-tuning low-memory-training fp16-training
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Dec 27, 2025 - Jupyter Notebook
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