Abdulrahman Hisham's repositories
falcon7b_llm_HF_LangChain_pipeline
This is a tutorial I made on how to deploy a HuggingFace/LangChain pipeline on the newly released Falcon 7B LLM by TII
ollama_falcon2_11b_stable_diffusion_Tutorial
This repository contains the necessary steps for installing ollama and running TII's Falcon 11b in 4-bit quantization, along with Whisper for ASR, and ComfyUI for handling the stable diffusion backend
efficient_SAM_finetuning
This repository contains code for fine-tuning the architecture of EfficientSAM over an aggregated superset of skin lesion images
ModifiedMALUNet
This is my modified implementation of "MALUNet: A Muti-Attention and Light-weight UNet for Skin Lesion Segmentation". on the PH2 dataset
QuranWhisper
QuranWhisper is a project that uses OpenAI's Whisper ASR system for transcribing the Quran
StreamGPT2.0
This is a project that incorporates the use of ChatGPT and Whispers' API to implement a seamless prompt system for users.
End_To_End_Kafka_Streaming_Project
This is a side project to showcase processing and analysis of streaming data, through the use of the Kafka stream processing platform.
MSc_BI_Project
This is my project for BI
Spotify_to_youtube_downloader
This is a side project application for downloading my Spotify playlists from YouTube (V1.0 Complete)
torch_to_coreml_converter_app
This is a CLI application to convert Pytorch models to CoreML.
FlowiseAI_AUGPT_Port
This is a revised version of AUGPT that utilizes the use of Flowise AI LLM Flows
.ipynb-to-.pdf-Converter
This is a .ipynb to .pdf converter application using Streamlit
ahishammsnapdrop
A Progressive Web App for local file sharing
Cpp_project
This is a project demonstrating the use of version control systems
Disease_Forecasting_PyCaret_Pipeline
This is an ML app built using Streamlit and PyCaret for forecasting child disease cases in different countries
scopus_data_ajman_analysis
This is a simple project built with Streamlit to visualize the Scopus research data coming out of Ajman University
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Titanic_XGBoost_Pycaret_Pipeline
This is a pipeline that showcases the use of PyCaret for predictive analysis with the Titanic dataset