HUI Yuxiang's starred repositories
RWKV-LM
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
efficientnetv2.pytorch
PyTorch implementation of EfficientNetV2 family
generative-models
Generative Models by Stability AI
Image-Super-Resolution-via-Iterative-Refinement
Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
AI-research-tools
:hammer:AI 方向好用的科研工具
tips-for-scientific-research
A collection of tips for scientific research
StableLLVE
Learning Temporal Consistency for Low Light Video Enhancement from Single Images (CVPR2021)
Semantic-Guided-Low-Light-Image-Enhancement
This is the official Pytorch implementation for our paper "Semantic-Guided Zero-Shot Learning for Low-Light Image/Video Enhancement."
Awesome-CVPR2024-Low-Level-Vision
A Collection of Papers and Codes in CVPR2023/2022 about low level vision
controlvideo
Official implementation for "ControlVideo: Adding Conditional Control for One Shot Text-to-Video Editing"
reformer-pytorch
Reformer, the efficient Transformer, in Pytorch
desktop-postflop
[Development suspended] Advanced open-source Texas Hold'em GTO solver with optimized performance
leetcode-master
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
gpt_academic
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。
Grounded-Segment-Anything
Grounded-SAM: Marrying Grounding-DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
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.
AutomaticWeightedLoss
Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning
CVPR2024-Papers-with-Code
CVPR 2024 论文和开源项目合集