Mehdi BRAHIMI (mbrhd)

mbrhd

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Location:FRANCE

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Mehdi BRAHIMI's repositories

bert4rec

Bert4rec implementation using Tensroflow

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data-science-stack-cookiecutter

Cookiecutter to launch an awesome dockerized Data Science toolstack 🐳📊🤓

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azure-docs

Open source documentation of Microsoft Azure

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Azure-TDSP-ProjectTemplate

TDSP: Data science project template repository with standardized directory structure and document templates to support efficient project execution and collaboration.

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coding-interview-university

A complete computer science study plan to become a software engineer.

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dotfiles

Config files for macOS setup

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esd_intro_ml

Cours d'intrduction au Machine Learning, ESD - M1 Data Marketing

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gpt-3

GPT-3: Language Models are Few-Shot Learners

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Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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keras-nlp

Modular Natural Language Processing workflows with Keras

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mouwatana-tech_website

This is the landing page of MouwatanTech landing page

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northendlab-hugo

Hugo blog template.

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papermill

📚 Parameterize, execute, and analyze notebooks

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polars_exercises

Like https://github.com/guipsamora/pandas_exercises for polars

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pump-and-dump-dataset

The dataset contains a list of pump and dumps arranged by groups on Telegram.

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python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.

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pytorch-forecasting

Time series forecasting with PyTorch

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pytorch-GAT

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I'll add an inductive example (PPI) soon as well.

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smallmatter-package

Sample wrappers to streamline data-science tasks using Python toolkits (such as pandas, matplotlib, etc.) on AWS.

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Tensorflow-in-practise-Specialization

Four Courses Specialization Tensorflow in practise Specialization

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tensortrade

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

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termGPT

A simple wrapper to call openAI's chatGPT on the terminal written in Python

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tutorials

PyTorch tutorials.

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wiki

contains all the sample code, lessons, and cheatsheets

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