BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more.

LoRA & Dreambooth training scripts & GUI use kohya-ss's trainer, for diffusion model.

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion.

心理健康大模型、LLM、The Big Model of Mental Health、Finetune、InternLM2、InternLM2.5、Qwen、ChatGLM、Baichuan、DeepSeek、Mixtral、LLama3、GLM4、Qwen2、LLama3.1

simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.

An Efficient "Factory" to Build Multiple LoRA Adapters

FineTune LLMs in few lines of code (Text2Text, Text2Speech, Speech2Text)

A full pipeline to finetune Vicuna LLM with LoRA and RLHF on consumer hardware. Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the Vicuna architecture. Basically ChatGPT but with Vicuna

Simple python WebUI for fine-tuning ChatGPT (gpt-3.5-turbo)

Finetuning AlexNet, VGGNet and ResNet with TensorFlow

Implementation of HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models

Gradio wrapper for sd-scripts by kohya

Fine-tuning code for CLIP models

This is an official repo for fine-tuning SAM to customized medical images.

A full pipeline to finetune ChatGLM LLM with LoRA and RLHF on consumer hardware. Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the ChatGLM architecture. Basically ChatGPT but with ChatGLM

The official repo for "LLoCo: Learning Long Contexts Offline"

A full pipeline to finetune Alpaca LLM with LoRA and RLHF on consumer hardware. Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the Alpaca architecture. Basically ChatGPT but with Alpaca

Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching

Scripts for use with LongCLIP, including fine-tuning Long-CLIP