R.I.P.
👻
Ghosted
⚰️ Papers With No Code ⚰️
"Where code promises go to die."
378.8K
Total Tracked
304.0K
Code Unavailable
21.4K
Twilight
3.8K
Ethereal
49.5K
Code Available
13.1%
Survival Rate
⚱️ Freshly Buried
R.I.P.
👻
Ghosted
DiffRefiner: Coarse to Fine Trajectory Planning via Diffusion Refinement with Semantic Interaction for End to End Autonomous Driving
R.I.P.
👻
Ghosted
DelTriC: A Novel Clustering Method with Accurate Outlier
R.I.P.
👻
Ghosted
Optimal training-conditional regret for online conformal prediction
R.I.P.
👻
Ghosted
Explainable AI: Context-Aware Layer-Wise Integrated Gradients for Explaining Transformer Models
R.I.P.
👻
Ghosted
Range-Edit: Semantic Mask Guided Outdoor LiDAR Scene Editing
R.I.P.
👻
Ghosted
The Rapid Growth of AI Foundation Model Usage in Science
R.I.P.
👻
Ghosted
ARQUSUMM: Argument-aware Quantitative Summarization of Online Conversations
R.I.P.
👻
Ghosted
OmniPT: Unleashing the Potential of Large Vision Language Models for Pedestrian Tracking and Understanding
R.I.P.
📜
Death by README
VETime: Vision Enhanced Zero-Shot Time Series Anomaly Detection
R.I.P.
👻
Ghosted
Small molecule retrieval from tandem mass spectrometry: what are we optimizing for?
R.I.P.
👻
Ghosted
PathAgent: Toward Interpretable Analysis of Whole-slide Pathology Images via Large Language Model-based Agentic Reasoning
💀 Hall of Shame
Most cited papers with no code. The bigger they are, the harder they fall.
R.I.P.
👻
Ghosted
Language Models are Few-Shot Learners
R.I.P.
👻
Ghosted
PyTorch: An Imperative Style, High-Performance Deep Learning Library
R.I.P.
👻
Ghosted
XGBoost: A Scalable Tree Boosting System
R.I.P.
👻
Ghosted
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
R.I.P.
👻
Ghosted
You Only Look Once: Unified, Real-Time Object Detection
R.I.P.
👻
Ghosted
Semi-Supervised Classification with Graph Convolutional Networks
🌅 The Twilight Zone
Pioneers from the pre-code-sharing era. Too influential to shame, too old to expect a repo.
🌅
🌅
Old Age
Deep Residual Learning for Image Recognition
🌅
🌅
Old Age
Attention Is All You Need
🌅
🌅
Old Age
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
🌅
🌅
Old Age
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
🌅
🌅
Old Age
SSD: Single Shot MultiBox Detector
🌅
🌅
Old Age
Squeeze-and-Excitation Networks
🌅 The Resurrection Corner
Papers that finally released their code. There is hope! 🎉