Pinned Repositories
alloy-voice-assistant
Books
collecting books, papers and docs.
DiffusionTutorial
IDM-VTON
IDM-VTON : Improving Diffusion Models for Authentic Virtual Try-on in the Wild
IMAGDressing
👔IMAGDressing👔: Interactive Modular Apparel Generation for Virtual Dressing
LeetCode
llm-hero
LLM-Interview
qlib
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.
VisualGPT
ZhaoChaoqun's Repositories
ZhaoChaoqun/LeetCode
ZhaoChaoqun/Books
collecting books, papers and docs.
ZhaoChaoqun/qlib
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.
ZhaoChaoqun/VisualGPT
ZhaoChaoqun/alloy-voice-assistant
ZhaoChaoqun/DiffusionTutorial
ZhaoChaoqun/IDM-VTON
IDM-VTON : Improving Diffusion Models for Authentic Virtual Try-on in the Wild
ZhaoChaoqun/IMAGDressing
👔IMAGDressing👔: Interactive Modular Apparel Generation for Virtual Dressing
ZhaoChaoqun/llm-hero
ZhaoChaoqun/LLM-Interview
ZhaoChaoqun/my-uniswap-v2-core
Uniswap V2
ZhaoChaoqun/pipelines-dotnet-core
A simple ASP.NET Core MVC app for Azure Pipelines docs
ZhaoChaoqun/prompt-engineering-for-developers
吴恩达大模型系列课程中文版，包括《Prompt Engineering》、《Building System》和《LangChain》
ZhaoChaoqun/simple-optimism-node
The easiest way to run an Optimism node
ZhaoChaoqun/OOTDiffusion
Official implementation of OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on
ZhaoChaoqun/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.