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ammi2021_bootcamp_project

This repo consists of the final project for the AMMI 2021 students

amro

https://amro-kamal.github.io/amro

amro-kamal

barlowtwins-implementation

Implementation for "Barlow Twins: Self-Supervised Learning via Redundancy Reduction" (not completed!)

beach-resort

Online Booking Website: ReactJs

bert-fine-tuning

BERT fine-tuning for text classification

bert-from-scratch

My Pytorch Bert Implementaion

byol-implementation

Pytorch Lightning implementation or the paper (Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning)

clean-code-python

:bathtub: Clean Code concepts adapted for Python

cnnmodels-simple-library

A simple library I wrote in Python to implement and train some of the famous CNNs models

data_filtering_for_open_clip

effective_pruning

fastpages

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

iclr-blog-track.github.io

improving-arabic-nmt

A repo for the project "Arabic Multitask Learning Neural Machine Translation"

intro-to-ml

This repo is for the Intro to machine learning course - AMMI

jekyll-uno

Jekyll-Uno - a minimal, responsive theme for Jekyll based on Uno for Ghost

joeynmt

Minimalist NMT for educational purposes

machine-learning-from-scratch

In this repo I will share some ML projects/codes I've worked on

mixup-implementaion

Implementation for "mixup: BEYOND EMPIRICAL RISK MINIMIZATION"

ml-codes

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

mlops-basics

model-vs-human

Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)

msn

Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)

neural-network-form-scratch

A class I wrote in numpy to initialize and train a neural network.

new

objectpose

pant-web-app

papers

papers from different ML topics including NLP, computer vision, general ML algorithms, and more. Part of the papers are highlighted by me. I will try updated the repo every few weeks.

pddapp