fine-tuning

🔥 Tuning LLMs with 15+ Federated Fine-tuning Methods

Synthetic data generation to fuel AI models

This source code implements our ECCV paper "task-conditioned domain adaptation for pedestrian detection in thermal imagery".

Fine Tune Video Generator for pretrained Stable Diffusion And Disney Models

Panacea is a framework for building collaborative, intelligent multi agent AI systems. The framework provides a robust infrastructure for creating and managing multiple AI agents, and enables developers and organizations to build, deploy, and optimize AI agents that work well in dynamic, complex environments.

the small distributed language model toolkit; fine-tune state-of-the-art LLMs anywhere, rapidly

Natural language control for Python CLI tools using locally-trained SLMs (CPU inference)

Create mxnet finetuner (retrain) for mac/linux ,no need install docker and supports CPU, GPU(eGpu/cudnn).support the inception,resnet ,squeeznet,mobilenet...

Cyrillic Mongolian text classification with tensorflow 2, and also some fine-tuning on TugsTugi's Mongolian BERT model and other NLP experiments are included.

A streamlined platform for efficient resume-job matching using advanced NLP techniques and a user-friendly web interface, built with Flask and MongoDB.

Code repository for AI Builders Bootcamp #3

Powerful no-code LLM fine-tuner: upload data → train → deploy in minutes. Unsloth 2-5× acceleration · QLoRA/DPO/RLHF/PPO/ORPO · Reward Model training · GGUF export · vLLM inference · BLEU/ROUGE/BERTScore · full CLI · Heretic Mode to unlock full model potential

[CVPR 2025] Enhanced OoD Detection through Cross-Modal Alignment of Multi-modal Representations

Modern Stable Diffusion models family - Fluently

This project focuses on fine-tuning a BERT model for question answering using a limited dataset for illustration purposes.

Taught by AI genius Andrew NG, this course entails the cutting edge topics such as, How generative AI works including what it can and can't do, Common uses cases such as Reading, Writing, and Chatting, Life Cycle of GenAI projects, Advanced Technology options such as RAG, Fine tunning, and Pre-Training, Implications of GenAI on business & Society.

High-accuracy Russian ANPR system built with YOLOv8 for detection and an optimized, custom-trained PyTorch CRNN for OCR.

Official codebase for "Quantile Reward Policy Optimization: Alignment with Pointwise Regression and Exact Partition Functions" (Matrenok et al. 2025).

[AAAI 2025 Oral] Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive Tasks

Hand-derived memory-efficient VJPs for tuning LLMs on laptops.