Benchmarking dataset of merged symbols in Kannada along with their associated ground truth Unicode text
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Updated
Oct 5, 2018 - Shell
Benchmarking dataset of merged symbols in Kannada along with their associated ground truth Unicode text
Benchmarking dataset of degraded word images (with character splits) in Kannada along with their associated ground truth Unicode text
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.
A tool to translate Argoverse into KITTI dataset format
Diving Deeper into Underwater Image Enhancement: A Survey, accepted in Signal Processing: Image Communication.
Large benchmark data for 4kills/go-zlib and 4kills/go-libdeflate, removed from the original go library/repository itself to minimize library size.
Open Information Retrieval Benchmark Framework
FDSML Course Project 2020/21
CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images
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.
Notebooks gerados para o meu TCC no curso de graduação Sistemas e Mídias Digitais da Universidade Federal do Ceará.
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.
Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
A Rust port of NASBench: https://github.com/google-research/nasbench
A framework for benchmarking clustering algorithms – Benchmark suite, version 1
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
Repository for the paper "ViHOS: Vietnamese Hate and Offensive Spans Detection" (EACL2023)
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…
Classical benchmark sets for the one-dimensional bin packing problem
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