Rf Detr
roboflow
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]
OPENAGENTSKILL / DIRECTORY
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Results: 7
roboflow
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]
KimMeen
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
kwuking
[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"
wjq-learning
[ICLR 2025] CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding
atomicarchitects
[ICLR 2024] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
gasteigerjo
PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
patrick-kidger
Differentiable computations of the signature and logsignature transforms, on both CPU and GPU. (ICLR 2021)
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