Star 总榜

Interested in running a conspiracy of agents (technical term) on your Local AI Infra? Who isn't!

Local LLM speed measurements from a 4x RTX 3090 rig, with exact launch commands and per-run provenance.

Hands-on GPU/HPC infrastructure operations: K8s GPU scheduling, HAMi sharing, Slurm, observability & vLLM inference. Learn it free on a laptop; validate on one cheap GPU.

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.

Build sovereign RAG systems with MAS‑RAG, Dual‑RAG, GraphRAG, Spatial‑RAG, multimodal pipelines, and vector search directly inside Oracle AI Database 26ai and Exadata.

Platform for managing LLM fine-tuning (Google Summer of Code '25)

Ensemble PhoBERT with FastText Embedding to improve performance on Vietnamese Sentiment Analysis tasks.

This repository not only contains experience about parameter finetune, but also other in-practice experience such as model ensemble (boosting, bagging and stacking) in Kaggle or other competitions.

Forest Fire Detection By Convolutional Neural Network

A step-by-step PyTorch guide for improved vehicle type 2D object detection based on Faster-RCNN using transfer learning and data augmentation.

BERT finetuned on NER downstream tasks