Ludwig

2006

Citations in the corpus

• NeMo: a toolkit for building AI applications using Neural Modules (2019, background): “…classified into two main groups: (1) higher-level neural network APIs such as Keras[11], Sonnet [18], PyTorch Ignite [3], PyTorch Lightning [4] and (2) configuration-driven tookits such as Tensor2Tensor [20], Ludwig [5], OpenSeq2Seq [13], FairSeq [16], OpenNMT [12], Seq2Seq [9] and many others.”
• Assessment of computational methods for the analysis of single-cell ATAC-seq data (2019, methodology): “We simulated 10 scATAC-seq datasets using available bulk ATAC-seq datasets with clear annotations from the bone marrow and erythropoiesis [7, 19, 20] using varying noise levels and read coverages.”