Yousef's repositories

argument-mining

Repository for NLP project. Name to be changed when we decide on a project

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ai_hack_2021

This repository contains work done for the AI HACK 2021

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in-n-out

general purpose data ingestion app

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multi-task-learning

Repository for multi task learning

action-kaggle-gpu-test

GitHub action file for performing integration tests against Kaggle GPU

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colab-utils

Helper functions for using colab and drive

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MLFirstPrinciples

This repository contains some first principles in machine learning. Here I try to create my own algorithms for different machine learning methods.

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action-python-package-build

GitHub action for running lint tests, formatting tests (black, isort), static type checking, unittests

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in-n-out-clients

clients for In-N-Out

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mix-n-match

repository for processing dataframes

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ml-utils

Useful ML util functions

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COMP0090

UCL Module: Introduction to Deep Learning

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core_logging

logging templates

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COVIDAnalysis

Analysis of a COVID dataset to practice time-series analysis and postgreSQL

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double-pendulum-control

A project where a double pendulum system is controlled using reinforcement learning

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general_cookiecutter_template

Cookiecutter template for my projects

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hpc-utils

A repository that contains helper function for using queue based cluster compute systems

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ml-project-ideas

Repository that contains project ideas and proposals

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namiyousef

Profile repository

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novelty_detection

NLP Final Year Project for finding novelty in scientific research papers

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PoliticalYouTube

Analysis of political youtube

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practical-data-science

Notes on Practical Data Science

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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pytorch-forecasting

Time series forecasting with PyTorch

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test-jupyter-book

Repository for testing out jupyter-book and jupyter_to_medium

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transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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xtreme

XTREME is a benchmark for the evaluation of the cross-lingual generalization ability of pre-trained multilingual models that covers 40 typologically diverse languages and includes nine tasks.

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