Orca is the ADE for working with a fleet of parallel agents. Run any coding agent with your own subscription. Available on desktop, mobile and VPS.

A Claude skill that writes the accurate prompts for any AI tool. Zero tokens or credits wasted. Full context and memory retention

Skill that audits and rewrites content to remove AI writing patterns. Use it with your favorite agents including Claude Code, OpenClaw, Codex, and Hermes.

PersonViT: Large-scale Self-supervised Vision Transformer for Person Re-Identification

A Learning-Based Two-Stage Bidirectional Packing Framework for 3D Packing Problems

An open-source AI agent that brings the power of Gemini directly into your terminal.

[AAAI 2022] CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-based Autonomous Urban Driving

See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks (CVPR19)

3d bin packing

3D Packing with Deep Reinforcement Learning using Unity ML-Agents (AI)

Awesome machine learning for combinatorial optimization papers.

A curated list of visual reinforcement learning resources

An awesome README template to jumpstart your projects!

The Packing problem has gained much relevance with the recent upheaval of the delivery and retail industry. Companies all over the world are now subject to massive logistics & operations schemes, a…

This repo share our packing tools to provide research convenience for beginners, which includes packing shape processing, rendering tools, and simulation scenarios.

Database contains the dataset of depth and RGB images of Pallet

[CVPR 2023] Unofficial re-implementation of "WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation".

An open source implementation of CLIP.

Person Re-Identification through Self-Supervised Learning using Distillation of knowledge with NO labels

A Semantic Controllable Self-Supervised Learning Framework to learn general human representations from massive unlabeled human images, which can benefit downstream human-centric tasks to the maximu…

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Radiographic image dataset for weld defects classification

PyTorch code and models for the DINOv2 self-supervised learning method.