peixincao

peixincao's Stars

• Srameo/LE3D

  HDR 3D Scene Editing!

  1514

• underwoodnoble/llm_codebase

  A codebase for llm training

  Language:Python8

• jzbjyb/FLARE

  Forward-Looking Active REtrieval-augmented generation (FLARE)

  Language:Python57552

• Srameo/LED

  [ICCV 2023] Lighting Every Darkness in Two Pairs: A Calibration-Free Pipeline for RAW Denoising && [Arxiv 2023] Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise Model

  Language:Python30829

• bytedance/lynx-llm

  paper: https://arxiv.org/abs/2307.02469 page: https://lynx-llm.github.io/

  Language:Python2268

• chatchat-space/Langchain-Chatchat

  Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

  Language:TypeScript31.3k5.5k

• Srameo/DNF

  [CVPR 2023 Highlight] DNF: Decouple and Feedback Network for Seeing in the Dark

  Language:Python1477

• AntreasAntoniou/HowToTrainYourMAMLPytorch

  The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

  Language:Python760137