fortran-nlp-kernels
A Python API for exact dense-vector and Jaccard search which executes the computational kernels in compiled Fortran, OpenMP, and OpenBLAS code. Featuring benchmark-informed CPU autotuning and workload-aware runtime dispatch. 
A Python API for exact dense-vector and Jaccard search which executes the computational kernels in compiled Fortran, OpenMP, and OpenBLAS code. Featuring benchmark-informed CPU autotuning and workload-aware runtime dispatch. 
A systems-engineering approach for composing existing technologies into a distributed, stateful, and artifact-centric workflow architecture. An autonomous GUI-based QA workflow serves as the reference implementation. 
Extraction and Pre-processing of LiDAR sensor data from the full-scale and high-speed autonomous racing open-source Multi-modal sensor dataset- RACECAR dataset. 
Sentimental Analysis from text: A text analysis algorithm based on ETL approach with multiprocessing for parallel processing of multiple text files.
An IoT-based Smart Parking System with slot availability prediction models trained on parking slot usage data collected on the ThingSpeak IoT cloud platform.
32-bit RISC Processor design using Harvard Architecture in Verilog.