MOHAMMAD ALBARHAM's repositories
Arabic-Sign-Language-Translation-System
Arabic Sign Language Translation System helps to convert the gestures and signs indicating the alphabet into written Arabic text in real-time by using computer vision technologies and deployed to a desktop application with a simple and easy-to-use user interface.
APIs
Code Repo for API course in Fullstack ND
bitsandbytes
Accessible large language models via k-bit quantization for PyTorch.
BLIP
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
clip-italian
CLIP (Contrastive LanguageβImage Pre-training) for Italian
course22p2
course.fast.ai 2022 part 2
How-Diffusion-Models-Work
In How Diffusion Models Work, you will gain a deep familiarity with the diffusion process and the models which carry it out. More than simply pulling in a pre-built model or using an API, this course will teach you to build a diffusion model from scratch.
memtestG80
CUDA-based memory tester for NVIDIA GPUs
mohammad-albarham.github.io
Personal portfolio website hosted using GitHub Pages - Version 2
Multilingual-CLIP-Arabic
OpenAI CLIP text encoders for multiple languages!
pervious-website
Personal portfolio website hosted using GitHub Pages - Version 2
transformers
π€ Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
turjuman
TURJUMAN, a neural toolkit for translating from 20 languages into Modern Standard Arabic (MSA).
ultralytics
NEW - YOLOv8 π in PyTorch > ONNX > CoreML > TFLite