fine-tuning

A PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.

Official code for the Manning book on structural LLM optimization: depth/width pruning, knowledge distillation, and attention optimization, runnable on free Colab GPUs.

A brand logo detection system by DETR

Praetor is a lightweight finetuning data and prompt management tool

在ComfyUI中进行lora微调的节点,依赖于kohya-ss/sd-scripts等训练工具(Nodes for fine-tuning lora in ComfyUI, dependent on training tools such as kohya-ss/sd-scripts)

[NeurIPS 2025] VeriThinker: Learning to Verify Makes Reasoning Model Efficient

Easy modernBERT fine-tuning and multi-task learning

Image classification using pytorch

Electra pre-trained model using Vietnamese corpus

[ICLR 2025] The offical implementation of "PSEC: Skill Expansion and Composition in Parameter Space", a new framework designed to facilitate efficient and flexible skill expansion and composition, iteratively evolve the agents' capabilities and efficiently address new challenges

A native macOS lab for teaching tiny language models to think — build the architecture, train the weights, and watch a small LLM emerge from scratch, locally on Apple Silicon with custom data, tokenizers, checkpoints, and MLX acceleration.

Fine-tuning Stable Diffusion using Keras.

Official Keras & PyTorch Implementation and Pre-trained Models for TransVW

A C++ implementation of Open Interpreter. / Open Interpreter 的 C++ 实现

A unified tool to generate fine-tuning datasets for LLMs, including questions, answers, and dialogues. ✨🤖📚💬

Learn Agentic AI, Deep Learning, Agentic Engineering, RAG and Multi-Agent Workflows.

PyTorch – SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models.

Geniusrise: Framework for building geniuses

Source code for our EMNLP'21 paper 《Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning》

Code repository for the work "Multi-Domain Incremental Learning for Semantic Segmentation", accepted at WACV 2022