zhaobingbingbing

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

Awesome-Chinese-LLM

整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。

LLMSurvey

The official GitHub page for the survey paper "A Survey of Large Language Models".

Firefly

Firefly: 大模型训练工具，支持训练Phi-3、Llama3、Gemma、MiniCPM、Yi、Deepseek、Orion、Xverse、Mixtral-8x7B、Zephyr、Mistral、Baichuan2、Llma2、Llama、Qwen、Baichuan、ChatGLM2、InternLM、Ziya2、Vicuna、Bloom等大模型

ChineseNLPCorpus

中文自然语言处理数据集，平时做做实验的材料。欢迎补充提交合并。

self-instruct

Aligning pretrained language models with instruction data generated by themselves.

Otter

🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.

improved-gan

Code for the paper "Improved Techniques for Training GANs"

StableSR

Exploiting Diffusion Prior for Real-World Image Super-Resolution

RePaint

Official PyTorch Code and Models of "RePaint: Inpainting using Denoising Diffusion Probabilistic Models", CVPR 2022

Awesome-Diffusion-Models-in-Medical-Imaging

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

coyo-dataset

COYO-700M: Large-scale Image-Text Pair Dataset

TransGPT

ddrm

[NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository

sft_datasets

开源SFT数据集整理,随时补充

Chinese_from_dongxiexidian

mirror of dongxiexidian/Chinese

LLMforDialogDataGenerate

Generate dialog data from documents using LLM like ChatGLM2 or ChatGPT;利用ChatGLM2,ChatGPT等大模型根据文档生成对话数据集

metrics

IS, FID score Pytorch and TF implementation, TF implementation is a wrapper of the official ones.

diffusion-anomaly

Anomaly detection with diffusion models

self-instruct-zh

基于ChatGPT构建的中文self-instruct数据集

evolve-instruct

evolve llm training instruction, from english instruction to any language.

llm

The Roadmap for LLMs

Accurate-Interpretable-VAD

Attribute-based Representations for Accurate and Interpretable Video Anomaly Detection

mDDPM

Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion Model

CCD

Code for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' [MICCAI 2021]

DenoisingAE

Denoising autoencoders for anomaly detection in medical imaging

patched-Diffusion-Models-UAD

Codebase for Patched Diffusion Models for Unsupervised Anomaly Detection .

calculate-Inception-Score-for-CIFAR-10-in-Keras

This code calculates the Inception Score for the CIFAR-10 dataset using Keras with InceptionV3 model. The Inception Score is a metric to evaluate the quality of generated images from a generative model.

inception_score_tensorflow

inception_score

This is the Keras implementation of Inception Score used for GANs.