Xingzhongfan

Xingzhongfan's Stars

• chendaichao/VAE-pytorch

  Pytorch implementation for VAE and conditional VAE.

  Language:Jupyter Notebook287

• rosinality/style-based-gan-pytorch

  Implementation A Style-Based Generator Architecture for Generative Adversarial Networks in PyTorch

  Language:Python1.1k232

• Lionelsy/Conference-Accepted-Paper-List

  Some Conferences' accepted paper lists (including AI, ML, Robotic)

  93975

• zkawfanx/Atlantis

  Atlantis: Enabling Underwater Depth Estimation with Stable Diffusion (CVPR2024, Highlight)

  Language:Python597

• idpen/finetune-stable-diffusion

  A library for fine-tuning Stable Diffusion.

  Language:Python6

• henrysky/Galaxy10

  A CIFAR10-like galaxy image dataset

  Language:Python282

• lucidrains/denoising-diffusion-pytorch

  Implementation of Denoising Diffusion Probabilistic Model in Pytorch

  Language:Python7.9k990

• YuchuanTian/U-DiT

  The official code of "U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers"

  Language:Python645

• kailaisun/Classifier-free-DDPM-pytorch

  Implementation of Denoising Diffusion Probabilistic Model with Classifier-Free Diffusion Guidance in Pytorch

  Language:Python2

• cientgu/VQ-Diffusion

  Language:Python43243

• microsoft/VQ-Diffusion

  Official implementation of VQ-Diffusion

  Language:Python87762

• TeaPearce/Conditional_Diffusion_MNIST

  Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.

  Language:Python61067

• mwalmsley/galaxy-datasets

  ML-friendly datasets of galaxy images and labels

  Language:Jupyter Notebook304

• Smith42/astroddpm

  A denoising diffusion probabilistic model synthesises galaxies that are qualitatively and physically indistinguishable from the real thing.

  Language:Shell488

• openai/guided-diffusion

  Language:Python6.1k807

• VinAIResearch/WaveDiff

  Official Pytorch Implementation of the paper: Wavelet Diffusion Models are fast and scalable Image Generators (CVPR'23)

  Language:Python36628

• JeongJiHeon/ScoreDiffusionModel

  The Pytorch Tutorial of Score-based and Diffusion Model

  Language:Jupyter Notebook27834

• openai/improved-diffusion

  Release for Improved Denoising Diffusion Probabilistic Models

  Language:Python3.1k477

• jmtomczak/intro_dgm

  "Deep Generative Modeling": Introductory Examples

  Language:Jupyter Notebook996164

• maxpumperla/hyperas

  Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

  Language:Python2.2k318

• DeathKing/Learning-SICP

  MIT视频公开课《计算机程序的构造和解释》中文化项目及课程学习资料搜集。

  Language:Ruby11k1.5k

• ikebo/reading-MySQL

  《MySQL必知必会》阅读笔记

  Language:SQLPL121

• sjsdfg/effective-java-3rd-chinese

  394121

• qqiang00/Reinforce

  Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments

  Language:Jupyter Notebook841487

• zhoubolei/introRL

  Intro to Reinforcement Learning (强化学习纲要）

  3.2k483

• iamshuaidi/CS-Book

  计算机类常用电子书整理，并且附带下载链接，包括Java，Python，Linux，Go，C，C++，数据结构与算法，人工智能，计算机基础，面试，设计模式，数据库，前端等书籍

  11.3k2.7k

• asidlo/sparkprophet

  Sample application running fbprophet using spark

  Language:Python4920

• 1c7/Crash-Course-Computer-Science-Chinese

  :computer: 计算机速成课 | Crash Course 字幕组 (全40集 2018-5-1 精校完成) B站播放量 383万

  Language:JavaScript10.3k1.6k

• scutan90/DeepLearning-500-questions

  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript54.2k15.8k

• datawhalechina/competition-baseline

  数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路

  Language:Jupyter Notebook4.2k1.1k