Python 排行榜

Advanced LLM fine-tuning techniques: SFT (LoRA, QLoRA, DoRA, P-/Prefix-Tuning), GRPO, DPO, ORPO, KTO & PPO; composable correctness/format rewards + LLM-as-a-Judge evals (DeepEval, Evidently AI) across math, multi-hop, medical & general QA on Llama 3, Mistral, Phi-4, Gemma & Qwen3. Built on TRL, PEFT & Unsloth.

An intelligent web crawling and content extraction tool that transforms web content into structured JSON data suitable for fine-tuning Large Language Models (LLMs).

A style-aware deep learning model for adaptive cell instance segmentation by contrastive fine-tuning.

BERT for extractive summarization using HuggingFace

A curated collection of open-source Large Language Model (LLM) projects that are production-ready and can be used for solving real-world problems. This repository focuses on high-performance, scalable LLM solutions across various industries and applications.

Fine-tuning OpenAI API GPT-3.5 Turbo model Uploader

Different post-training techniques for LLMs, including: SFT, DPO and Online RL

Recent papers and projects in multitask learning and their applications

Fine-tuning a Large Language Model (LLM) for code vulnerability detection using QLoRA, a method that quantizes the model to 4-bit floats and incorporates adapters for fine-tuning.

Companion code for the Manning book 'LLM Customization and Fine-Tuning.' Adapt open-weights LLMs end to end: prompting and RAG, LoRA/QLoRA, full SFT, distillation, and DPO/RLHF alignment.

Library for handling atomistic graph datasets focusing on transformer-based implementations, with utilities for training various models, experimenting with different pre-training tasks, and a suite of pre-trained models with huggingface integrations

Synthetic data augmentation technique via LLM for Automatic Speech Recognition fine tuning.

Omega-Forge: unofficial code to finetune or train VGGT-Omega (VGGT-Ω) on your own dataset, for use while official training code is not yet available. Additionally includes a standalone zero-GPU 3D reconstruction visualizer.

[CCL 2023] Revisiting k-NN for Fine-tuning Pre-trained Language Models

Sudoku4LLM is a Sudoku dataset generator for training and evaluating reasoning in Large Language Models (LLMs). It offers customizable puzzles, difficulty levels, and 11 serialization formats to support structured data reasoning and Chain of Thought (CoT) experiments.

Dataset preparation tool for Mochi-1 video model fine-tuning — clip extraction, captioning & formatting pipeline

Fine-tuning Mask2Former on the FoodSeg103 dataset for food segmentation, with deployment and interactive inference via Gradio.

Cloud native Python package manager.

AI-powered invoice processing system using Google Document AI - Automated AP workflows with CI/CD pipeline for enterprise finance operations

WIP: Python client for Liftbridge.