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Machine Learning Enthusiast specializing in Computer Vision and NLP. Proficient in designing data-driven solutions to optimize efficiency and accuracy. Eager to apply innovative strategies and problem-solving expertise to overcome business obstacles.

LinkedIn e-mail Kaggle Medium

Languages

Python MySQL Shell Script Java JavaScript Dart

ML/DL

NumPy Pandas Matplotlib PyTorch scikit-learn mlflow

Technologies & Frameworks

Apache Spark OpenCV FastAPI Docker Flutter

OS

Linux Ubuntu macOS Windows

Abdullah Meda's Projects

anima icon anima

33B Chinese LLM, DPO QLORA, 100K context, AirLLM 70B inference with single 4GB GPU

blogs icon blogs

Code associated to medium blog posts

facial-keypoint-detection icon facial-keypoint-detection

Computer vision: A Facial Keypoint Detection System that takes in any image with faces, and predicts the location of 68 distinguishing keypoints on each face!

image-captioning icon image-captioning

Creating a NN architecture to automatically generate captions from images. After using the Microsoft Common Objects in COntext (MS COCO) dataset to train the network, it will be tested on novel images!

ivy icon ivy

The Unified AI Framework

java icon java

All Algorithms implemented in Java

jupyter-text2code icon jupyter-text2code

A proof-of-concept jupyter extension which converts english queries into relevant python code

llama_index icon llama_index

LlamaIndex is a data framework for your LLM applications

painter icon painter

Painter & SegGPT Series: Vision Foundation Models from BAAI

portfolio icon portfolio

Personal Portfolio built with Django as the backend

social-distancing-and-mask-detection icon social-distancing-and-mask-detection

This project aimed at building a Deep Learning model which can identify if the person is wearing a mask or not, also detecting if people within the frame are violating social distancing norms.

store-listings icon store-listings

Solution to the assignment for DeepKlarity's Flutter App Development internship

tabpfn icon tabpfn

Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.

workplete icon workplete

Experience seamless form filling through the magic of AI!

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