fine-tuning

Making MoE fine-tuning accessible to anyone with consumer hardware.

weighted category-balanced dataset builder for LLM fine-tuning

fine-tuning of the Segment-Anything model by MetaAI

Finetuned Deepseek 8b model for finance reasoning

Enterprise-grade LLMOps platform to accelerate the development and deployment of generative AI applications.

Code and supplementary materials for the research paper titled 'Advancing Geological Image Segmentation: Deep Learning Approaches for Rock Type Identification and Classification', published in Applied Computing and Geosciences (Elsevier).

CPU-first, eager-execution tensor/autograd runtime and LLM inference engine written in pure Zig

A comprehensive survey of Vision–Language Models: Pretrained models, fine-tuning, prompt engineering, adapters, and benchmark datasets

This open-source project delivers a complete pipeline for converting multi-page documents (PDFs/images) into structured JSON using Vision LLMs on Amazon SageMaker. The solution leverages the SWIFT Framework to fine-tune models specifically for document understanding tasks.

LLM-powered financial analyst using LoRA-tuned Llama-3 and RAG pipeline to answer complex queries over SEC 10-K filings with contextual accuracy.

A fast TUI application (with optional webui) to visually navigate and inspect JSON and JSONL data. Easily localize parse errors in large JSONL files. Made with LLM fine-tuning workflows in mind.

SCoRe: Training Language Models to Self-Correct via Reinforcement Learning

Source code of CIKM2021 Paper 'Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need'

Get familiar with different fine-tuning techniques for text-to-image models, and learn how to teach a diffusion model a concept of your choosing

The project aim was to fine-tune the stable diffusion model in order to generate images in the LEGO style based on the prompt.

Automated Drowning Detection: A repository showcasing a deep learning-based solution using YOLO v8 architecture for swift and accurate identification of drowning instances in aquatic environments. Enhanced accuracy through meticulous fine-tuning and integrated methodologies. Empowering drowning incident response systems for improved efficiency.

RiverSnap - estimation of river hydraulic parameters using machine learning/AI models

Finetuning and Alignment bootcamp reference implementations

Physics Master is a model fine-tuned from llama3-8B-Instruct. It can answer your physics question!

Breast cancer classification from Mammogram images using Deep CNN with Keras and TensorFlow.