Properly pre-processed full-scale Freebase datasets

Estonian Grammatical Error Correction (GEC) test and development corpus that contains L2 learner texts error-annotated in the M2 format.

A framework for benchmarking clustering algorithms – Benchmark results (for version 1 of the Suite)

A tool to translate Argoverse into KITTI dataset format

The official repository for the CBM paper "Deep Reinforcement Learning Enables Better Bias Control in Benchmark for Virtual Screening".

A Python toolkit for setting up benchmarking dataset using biomedical networks

Official repository of IDEA-Bench

[NAACL'25] Contains code and documentation for our VANE-Bench paper.

BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks

Test your local LLMs on the AIME problems

FDSML Course Project 2020/21

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.

[OpenPAR] An open-source framework for Pedestrian Attribute Recognition, based on PyTorch

CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images

benchmark dataset and Deep learning method (Hierarchical Interaction Network, HINT) for clinical trial approval probability prediction, published in Cell Patterns 2022.

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.

Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision

A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.