Python 排行榜

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

ComfyUI nodes useful to Tweak SDXL, Illustrious, and NAI models by adjusting specific 'slices'. These nodes break the U-Net and CLIP into areas of application (like Style, Lighting, Word Logic...) and use sliders to boost or lower the intensity of any of those sections without training.

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.