Shekswess
A Machine Learning Engineer who believes that will change the world for the better :)
LokaSkopje, Macedonia
Pinned Repositories
langfuse
🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with LlamaIndex, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
ai-project-template
This is the code repository for the AI project template. The idea of this template is to have a code framework prepared for any AI/ML/MLOps/LLMOps project
AWS-Pulumi-MLflow-Tracking-Server
A code repository for setting up a MLFlow Tracking Server on AWS
conditions-ai
Harness the true power of 🚀GenAI🚀
Federated-Network-Intrusion-Detection
A code repository about network intrusion detection using federated learning by utilizing UNR-IDD dataset
LLM-Medical-Finetuning
A code repository that cointains all the code for finetuning some of the popular LLMs on medical data
shekswess
Shekswess.github.io
This is a code repository based on the chirpy-starter template for my personal technical blog post hosted on GitHub Pages
small-language-model-rags-is-all-you-need
A code repository for the project called small-language-model-rags-is-all-you-need
Shekswess's Repositories
Shekswess/LLM-Medical-Finetuning
A code repository that cointains all the code for finetuning some of the popular LLMs on medical data
Shekswess/AWS-Pulumi-MLflow-Tracking-Server
A code repository for setting up a MLFlow Tracking Server on AWS
Shekswess/small-language-model-rags-is-all-you-need
A code repository for the project called small-language-model-rags-is-all-you-need
Shekswess/Federated-Network-Intrusion-Detection
A code repository about network intrusion detection using federated learning by utilizing UNR-IDD dataset
Shekswess/shekswess
Shekswess/Shekswess.github.io
This is a code repository based on the chirpy-starter template for my personal technical blog post hosted on GitHub Pages
Shekswess/HAR-Comparison-Privacy
A code repository for experimenting with different HAR datasets, comparison in results and privacy in HAR ML