fine-tuning

On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines

Finetune LLaMA-7B with Chinese instruction datasets

Train an adapter for any embedding model in under a minute

An Integrated Library for Tuning, Deploying and Interpreting Genomic Models

Visual knowledge bank for understanding large language models, with 180 concept cards from tokenization to deployment.

Comparatively fine-tuning pretrained BERT models on downstream, text classification tasks with different architectural configurations in PyTorch.

Convolutional Neural Network based on Hierarchical Category Structure for Multi-label Short Text Categorization

Large language model fine-tuned to mimic LIHKG users' behavior

Easy fine-tuning for Qwen3-TTS: Fast voice cloning and high-quality multilingual speech synthesis.

The code for our INTERSPEECH 2020 paper - Jointly Fine-Tuning "BERT-like'" Self Supervised Models to Improve Multimodal Speech Emotion Recognition

Open Toolkit for Painless Object Detection

A self-hosted ElevenLabs clone for text-to-speech, voice conversion, and AI audio generation with Docker, FastAPI, and Next.js. 🔊🎙️💡💻

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

MarryWise-LLM: AI-Powered Suitor Analysis. "Can you marry this man?" Let AI uncover the secrets of dating.

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

Wav2Keyword is keyword spotting(KWS) based on Wav2Vec 2.0. This model shows state-of-the-art in Speech commands dataset V1 and V2.

Fine-tuning toolkit for Chatterbox TTS & Chatterbox TURBO models. Supports 23 languages with smart vocabulary extension. Features offline preprocessing, automatic VAD trimming, and voice cloning capabilities. Train custom TTS models with your own dataset in LJSpeech and file-based format.

Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"

[ICLR 2024] This is the repository for the paper titled "DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning"

Fine-Tuning Dataset Auto-Generation for Graph Query Languages.