Zixiang Zhang's starred repositories
annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
InvokeAI
Invoke is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, and serves as the foundation for multiple commercial products.
DALLE2-pytorch
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
learning_research
本人的科研经验
thorough-pytorch
PyTorch入门教程,在线阅读地址:https://datawhalechina.github.io/thorough-pytorch/
CSSummerCamp2024
2024年计算机保研夏令营&冬令营通知
FoundationPose
[CVPR 2024 Highlight] FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
conditional-flow-matching
TorchCFM: a Conditional Flow Matching library
LucidDreamer
Official implementation of "LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching"
Attend-and-Excite
Official Implementation for "Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models" (SIGGRAPH 2023)
piecewise-rectified-flow
PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator (NeurIPS 2024)
LLM-groundedDiffusion
LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models (LLM-grounded Diffusion: LMD, TMLR 2024)
BIT-CS-Learning
保存一下我自己整理的北理工计科的学习资料,欢迎分享资源
consistency_flow_matching
Official Implementation for "Consistency Flow Matching: Defining Straight Flows with Velocity Consistency"
distill_diffusion
Implementation of the 2023 CVPR Award Candidate: On Distillation of Guided Diffusion Models
chatgpt-prompts-for-academic-writing-zh
关于 ChatGPT Prompts for Academic Writing 的中文理解