Pinned Repositories
-Python-Analysis_of_wine_quality
Analysis of the Wine Quality Data Set from the UCI Machine Learning Repository
AdaIN-style
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
annotated-transformer
An annotated implementation of the Transformer paper.
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
args
A simple header-only C++ argument parser library. Supposed to be flexible and powerful, and attempts to be compatible with the functionality of the Python standard argparse library (though not necessarily the API).
Attend-and-Excite
Official Implementation for "Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models"
CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
fun-rec
推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/
NeRFFaceEditing
for my proj
projectwithcomment
C/C++做的小项目合集带注释
lanzehua's Repositories
lanzehua/learning_nerf
LAB-FRAMEWORK
lanzehua/annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
lanzehua/tiny-cuda-nn
Lightning fast C++/CUDA neural network framework
lanzehua/Interview-1
CPP面试修炼
lanzehua/MISE
Multimodal Image Synthesis and Editing: A Survey
lanzehua/tinylogger
Single-header logger with pretty console output
lanzehua/DiffFashion
lanzehua/args
A simple header-only C++ argument parser library. Supposed to be flexible and powerful, and attempts to be compatible with the functionality of the Python standard argparse library (though not necessarily the API).
lanzehua/awesome-chatgpt-api
Curated list of apps and tools that not only use the new ChatGPT API, but also allow users to configure their own API keys, enabling free and on-demand usage of their own quota.
lanzehua/InST
Official implementation of the paper “Inversion-Based Style Transfer with Diffusion Models” (CVPR 2023)
lanzehua/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
lanzehua/stylegan2-ada-pytorch
StyleGAN2-ADA - Official PyTorch implementation
lanzehua/SRGAN
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
lanzehua/t2i-adapter-diffusers
itrytry
lanzehua/ML-Papers-Explained
Explanation to key concepts in ML
lanzehua/composer
Official implementation of "Composer: Creative and Controllable Image Synthesis with Composable Conditions"
lanzehua/DECA
DECA: Detailed Expression Capture and Animation (SIGGRAPH 2021)
lanzehua/TinyWebServer
:fire: Linux下C++轻量级Web服务器学习
lanzehua/tinyrenderer
A brief computer graphics / rendering course
lanzehua/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
lanzehua/eg3d
lanzehua/ncps
PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
lanzehua/SRGAN-PyTorch
A simple and complete implementation of super-resolution paper.
lanzehua/BERT-pytorch
Google AI 2018 BERT pytorch implementation
lanzehua/SMSBoom
短信轰炸/短信测压/ | 一个健壮免费的python短信轰炸程序,专门炸坏蛋蛋,百万接口,多线程全自动添加有效接口,支持异步协程百万并发,全免费的短信轰炸工具!!hongkonger开发全网首发!!
lanzehua/mmcv
OpenMMLab Computer Vision Foundation
lanzehua/Attend-and-Excite
Official Implementation for "Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models"
lanzehua/improved-diffusion
Release for Improved Denoising Diffusion Probabilistic Models
lanzehua/pytorch-lightning-template
An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板,简单易用,稍改原来Pytorch代码,即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all the functions as well. Big-project-friendly as well.
lanzehua/MCC
Multiview Compressive Coding for 3D Reconstruction