[OpenPAR] An open-source framework for Pedestrian Attribute Recognition, based on PyTorch
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Updated
Dec 12, 2025 - Python
[OpenPAR] An open-source framework for Pedestrian Attribute Recognition, based on PyTorch
A framework for benchmarking clustering algorithms – Benchmark results (for version 1 of the Suite)
Estonian Grammatical Error Correction (GEC) test and development corpus that contains L2 learner texts error-annotated in the M2 format.
CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images
[NAACL'25] Contains code and documentation for our VANE-Bench paper.
A Python toolkit for setting up benchmarking dataset using biomedical networks
benchmark dataset and Deep learning method (Hierarchical Interaction Network, HINT) for clinical trial approval probability prediction, published in Cell Patterns 2022.
Test your local LLMs on the AIME problems
This is the official repository for evaluation on the NoW Benchmark Dataset. The goal of the NoW benchmark is to introduce a standard evaluation metric to measure the accuracy and robustness of 3D face reconstruction methods from a single image under variations in viewing angle, lighting, and common occlusions.
Official repository of IDEA-Bench
Properly pre-processed full-scale Freebase datasets
BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks
The official repository for the CBM paper "Deep Reinforcement Learning Enables Better Bias Control in Benchmark for Virtual Screening".
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
FDSML Course Project 2020/21
A tool to translate Argoverse into KITTI dataset format
RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
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