陈庆's repositories
deep-multi-object-tracking-CODE
codes of public deep multi-object tracking
ChatPaper
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文总结+润色+审稿+审稿回复
DaSiamRPN
Distractor-aware Siamese Networks for Visual Object Tracking (ECCV2018)
Deep-Learning-for-Tracking-and-Detection
Collection of papers and other resources for object tracking and detection using deep learning
LLaMA-Factory
Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)
LLMZoo
⚡LLM Zoo is a project that provides data, models, and evaluation benchmark for large language models.⚡
mobile-deep-learning
This research aims at simply deploying CNN(Convolutional Neural Network) on mobile devices, with low complexity and high speed.
multi-object-tracking-paper-list
Paper list and source code for multi-object-tracking
Person_reID_baseline_pytorch
Pytorch implement of Person re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
SqueezeNet
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters
Track-Anything
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.