Erfandarzi
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CUDA implementation of vector addition and matrix multiplication to harness the power of parallel computing on GPUs
Placeholder for a final capstone project of GPU Programming specialization
Clustering project using PySpark and Microsoft Fabric to explore segmentation patterns in Boston Safety Data. Includes iterative testing of cluster counts, evaluation with Silhouette and Davies-Bou…
Contains the core API documentation for Red Hat Advanced Cluster Management for Kubernetes
ClusterDuck 🦆 — a Python package for automating HPC/cluster workflows.
Unsupervised ML analysis of lifestyle data to uncover risk patterns for Dry Eye Disease
1
Updated Aug 28, 2025
Focal adhesion local image patch clustering based on latent space of autoencoder
Constraining the halo occupation distribution of the Quaia catalog (https://arxiv.org/abs/2306.17749) using clustering statistics.
My hardended homelab resources (dns, reverse proxy, etc)
Tailscale demo of API Server Proxy and Cluster Egress. Built on AWS with Terraform, Kubernetes, and Tailscale.
Implementation of a simple clustering model.
Segmentation analysis using PCA + clustering (K-Means, DBSCAN) on vehicle silhouettes.
Dynamic GPU provisioning for ML workloads with transparent execution
Automates the conversion of audio files (AAC, M4A, ADTS) to MP3 and their transcription to text using OpenAI Whisper with GPU acceleration
Deep learning framework built from scratch in modern C++/Objective-C++ with custom Metal GPU kernels (OpenMP fallback). Supports MLP and CNN models on tabular and image data, with SGD + learning ra…
GPU-accelerated genomics workflows powered by NVIDIA Parabricks — run fast, concordant pipelines for WGS and RNA-seq locally via WSL2 + Docker or at scale in the cloud (AWS/GCP). Includes benchmark…
A high-performance, GPU-accelerated entity resolution pipeline.
