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Cornell University and Cornell Tech
- New York City
Stars
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, m…
Domain adaptation made easy. Fully featured, modular, and customizable.
PyTorch implementation of Contrastive Learning methods
This repository contains data on Coronavirus Disease 2019 (COVID-19) in New York City (NYC), from the NYC Department of Health and Mental Hygiene.
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
[CVPR 2020] Interpreting the Latent Space of GANs for Semantic Face Editing
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
Deformable ConvNets V2 (DCNv2) in PyTorch
Please choose the openseg.pytorch project for the updated code that achieve SOTA on 6 benchmarks!
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Public repo for helpful scripts when using the YouTube Bounding Boxes dataset
Super fast sftp/ftp extension for VS Code
DEL: Deep Embedding Learning for Efficient Image Segmentation
SNIPER / AutoFocus is an efficient multi-scale object detection training / inference algorithm
Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)
DSOD: Learning Deeply Supervised Object Detectors from Scratch. In ICCV 2017.
A faster pytorch implementation of faster r-cnn
[CVPR 2018 UG2 Challenge, Winner] BRIDGING THE GAP BETWEEN COMPUTATIONAL PHOTOGRAPHY AND VISUAL RECOGNITION
Relation Networks for Object Detection
Code and dataset for paper "VITON: An Image-based Virtual Try-on Network"
rogerwwww / dronekit-python
Forked from dronekit/dronekit-pythonDroneKit-Python library for communicating with Drones via MAVLink.
rogerwwww / DroneVPL
Forked from Drones4STEM/DroneVPLA Visual Programming Language for Drones.
Supply controller scripts for RoboMasters 2017