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
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.
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.
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
The official repository for the CBM paper "Deep Reinforcement Learning Enables Better Bias Control in Benchmark for Virtual Screening".
Source code for experiments in the papers "Beyond Benchmarks: Assessing Knowledge Graph Completion Methods on Non-Benchmark Employee Data" (IEEE 2024, yet to be published)
BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks
Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided.
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