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
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.
Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided.
This repository contains the collection of UCI (real-life) datasets and Synthetic (artificial) datasets (with cluster labels and MATLAB files) ready to use with clustering algorithms.
[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.
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.
Datasets to protect Earth's forests and biodiversity
Code Repository for: AIRTBench: Measuring Autonomous AI Red Teaming Capabilities in Language Models
Launched in March 2020 in response to the coronavirus disease 2019 (COVID-19) pandemic, COVID-Net is a global open source, open access initiative dedicated to accelerating advancement in machine learning to aid front-line healthcare workers and clinical institutions around the world fighting the continuing pandemic. Towards this goal, our global…
Official repository of IDEA-Bench
Repository for the paper "ViHOS: Vietnamese Hate and Offensive Spans Detection" (EACL2023)
Test your local LLMs on the AIME problems
A Python toolkit for setting up benchmarking dataset using biomedical networks
BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks
[NAACL'25] Contains code and documentation for our VANE-Bench paper.
Crowdsourced Geospatial Question-Answering dataset containing triples of question-queries-answers.
FDSML Course Project 2020/21
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