Mohammed Hamdan (MHHamdan)

MHHamdan

Geek Repo

Company:Université du Québec (ETS)

Location:Montreal Canada

Home Page: https://mh-hamdan.medium.com/

Twitter:@Mohamme22877190

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Mohammed Hamdan's repositories

deit

Official DeiT repository

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albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

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awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

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Awesome-Vision-Attentions

Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

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ChatGPT-Data-Science-Prompts

A repository of 60 useful data science prompts for ChatGPT

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CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

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deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

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dessurt

Official implementation for Dessurt

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DMLS_cheat_sheets

Cheat sheets based on each chapter of Chip Huyen's "Designing Machine Learning Systems"

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donut

Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022

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fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

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From-0-to-Research-Scientist-resources-guide

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

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go

The Go programming language

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HandwritingRecognitionSystem

Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture

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handwritten-text-recognition

Handwritten Text Recognition (HTR) using TensorFlow 2.x

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models-1

Models and examples built with TensorFlow

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nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

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nebullvm

Plug and play modules to optimize the performances of your AI systems 🚀

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netron

Visualizer for neural network, deep learning, and machine learning models

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portfolio

Initial portfolio

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pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

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Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

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synthesis-in-style

Code for our Paper "Synthesis in Style: Semantic Segmentation of Historical Documents using Synthetic Data"

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Tools-to-Design-or-Visualize-Architecture-of-Neural-Network

Tools to Design or Visualize Architecture of Neural Network

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zero_to_gpt

Go from no deep learning knowledge to implementing GPT.

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