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Hi Scientist

I'm Mohamed Niang, machine learning scientist and deep learner. I like to build something with Neural Network's. I like to learn new things and based on it to write repositories. I'm a big fan of large languages modeling (LLMs) and human level vision AI technologies based on Transformers (Attention Network's). I am currently a machine learning engineer at IBM, working on Pure MLOps for Recommender System.

Favorite Repository

Here, a repository to learn the basics of programming with Python.

Mohamed NIANG's Favorite Repository

About Me

- I am passionate about developing and applying machine learning methods for building algorithms and predictive models using a variety of datasets for solving impactful real world problems. I learn continuously hard on projects regarding machine learning, deep learning and robotics. I am currently interested in the field of generative ai, cloud computing and data science.

Mohamed NIANG's

Publications

Here, to find some of my publications on medium. These publications cover topics such as introduction to Tensorflow, object-oriented programming and other interesting topics on data science and artificial intelligence.

Language and Tools

Here are the languages I use most often in my personal projects.

Mohamed NIANG's Top Languages

My Github Stats

Mohamed's github stats

My Streak Stats

Mohamed NIANG's Streak Stats

My Trophy Stats

Mohamed NIANG's Trophy Stats

Find Me Here

Mohamed Niang's Projects

ai-platform-qwik-start icon ai-platform-qwik-start

Train a TensorFlow model both locally and on AI Platform, then use that trained model to make predictions.

bertviz icon bertviz

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

data-structures-algorithms-python icon data-structures-algorithms-python

This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practice on.

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