Stars
Effortless data labeling with AI support from Segment Anything and other awesome models.
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
[Preprint] Deformation-Recovery Diffusion Model (DRDM): Instance Deformation for Image Manipulation and Synthesis
This is the code for the application of our structured lighting system. We provide with structured lighting patterns and the decoder, for recovering the scene depth. In some cases, this depth is tr…
Code for Self-Supervised Depth Estimation in Laparoscopic Image using 3D Geometric Consistency (MICCAI 2022)
[Medical Image Analysis] Residual Aligner-based Network (RAN): Motion-Aware Structure for Coarse-to-fine Discontinuous Deformable Registration
A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
[Cell Research] Deep learning-based rapid generation of broadly reactive antibodies against SARS-CoV-2 and its Omicron variant
Collection of best practices for working with Docker/Docker-Compose and the Robot Operating System (ROS/ROS 2) in simulation as well as with hardware and real-time requirements
[CoRL 2022] InterFuser: Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer
"Learning by Cheating" (CoRL 2019) submission for the 2020 CARLA Challenge
Code for G2RL to solve the multi-robot path planning problem in a fully distributed reactive manner.
🍃 Automate your personal finances – for free, with no ads, and no data collection.
A script and python package to check your AWS service limits and usage via boto3.
Responsive Flask/SQLAlchemy personal finance app, specifically for biweekly budgeting.
Collection of LaTeX resources and examples.
cherise215 / python-fisheye
Forked from benmaier/python-fisheyeTransform single points or arrays of points using several fisheye functions.
cherise215 / licenses
Forked from teamdigitale/licensesLicenses approved by Team Digitale, ready to use in your repository
Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch
DeepLab v3+ model in PyTorch. Support different backbones.
cherise215 / M-ADA
Forked from deep-real/M-ADAThe Pytorch implementation for "Learning to Learn Single Domain Generalization" (CVPR 2020)