lora

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deep learning

[ICML2025] Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment

Speedrunning LoRA fine-tuning: frozen task, frozen hardware, public wall-clock leaderboard. modded-nanogpt for fine-tuning.

Your AI intranet: network the computers you already own for inference and training.

The Best TypeScript framework for fine-tuning

Finetune LLaMA-7B with Chinese instruction datasets

Full-featured DAW, DJ, and VJ app interoperable w/Ableton, Reaper, Resolume & more. Stable Audio 3, Magenta RT2, Suno API, Chimera track fusion, Demucs stems, MIDI generate/notate, img > spectrogram > music, drawing > music, VST3 & .gan plugins, automix & key-lock, GLSL shaders, volumetric video, Quest 3 XR interface, MIDI auto-map, RAG assistant

Train an adapter for any embedding model in under a minute

An Integrated Library for Tuning, Deploying and Interpreting Genomic Models

Official implementation of "DoRA: Weight-Decomposed Low-Rank Adaptation"

This is the tandem repository to exploit on linux the kohya_ss training webui converted to Linux. It uses the fork in the following link

LoRA fine-tune Gemma 4 31B to speak caveman-mode natively. Style: github.com/JuliusBrussee/caveman

German-OCR is specifically trained to extract text from German documents including invoices, receipts, forms, and other business documents.

World's most accurate password guessing AI tool. A PyTorch implementation of PassLLM (USENIX 2025) that leverages PII and LoRA fine-tuning to outperform existing tools by over 45% on consumer hardware.

Consistency Distillation with Target Timestep Selection and Decoupled Guidance

This is the official repository for the paper "Flora: Low-Rank Adapters Are Secretly Gradient Compressors" in ICML 2024.

[ECCV2024] PartCraft: Crafting Creative Objects by Parts

Utility for Safetensors Files

An LLM training framework built from the ground up, featuring a custom BumbleBee architecture and end-to-end support for multiple open-source models across Pretraining → SFT → RLHF/DPO.