Complex problems can have Python solutions ...
Example of LDA-related preprocessing: python generate_lda.py --topics 52 --dataset R52 Example of running HyperGAT: python run.py --dataset R52 --use_LDA --batchSize 8 --lr 0.001 --dropout 0.3 --l2 1e ...
Before COVID19, it seemed as though the world of quantitative finance was locked behind high, imposing gates. If you wanted to run systematic or regime-adaptive trading strategies, you needed a PhD, a ...
This repository extends the LLVM framework to generate code for use with AMD/Xilinx AI Engine processors. Generally speaking, AI Engine processors are in-order, exposed-pipeline VLIW processors. These ...
The digital revolution and the resulting datafication of society have changed empirical social science research fundamentally. Enormous amounts of data can now be easily stored, managed and analyzed.