Guozhang liu's starred repositories
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
ColossalAI
Making large AI models cheaper, faster and more accessible
labelImg
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.
Grounded-Segment-Anything
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
modelscope
ModelScope: bring the notion of Model-as-a-Service to life.
Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
Chinese-Vicuna
Chinese-Vicuna: A Chinese Instruction-following LLaMA-based Model —— 一个中文低资源的llama+lora方案,结构参考alpaca
image-quality-assessment
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
CV-Surveys
计算机视觉相关综述。包括目标检测、跟踪........
Weighted-Boxes-Fusion
Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.
playground
A central hub for gathering and showcasing amazing projects that extend OpenMMLab with SAM and other exciting features.
semantic-segmentation
SOTA Semantic Segmentation Models in PyTorch
ControlLoRA
ControlLoRA: A Lightweight Neural Network To Control Stable Diffusion Spatial Information
Focal-Transformer
[NeurIPS 2021 Spotlight] Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"
ViTAE-Transformer-Remote-Sensing
A comprehensive list [SAMRS@NeurIPS'23, RVSA@TGRS'22, RSP@TGRS'22] of our research works related to remote sensing, including papers, codes, and citations. Note: The repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining" has been moved to: https://github.com/ViTAE-Transformer/RSP