- Morocco
- in/abdelhakimelghayoubi
Highlights
- Pro
Lists (5)
Sort Name ascending (A-Z)
Stars
Exploring the Falcon LLM Series: A deep dive into one of the leading open-source model families, their architecture, benchmarks, and practical applications, including an interactive demo.
fine tuning a pre-trained model on darija dialect to work with sentiment analysis task
A Method to transform Datasets into Knowledge Graphs
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Workshop for Multimodale media generator
collecting, parsing, indexing, storing, querying data of 250 movies
series of practice examples on NLP task & workflow from data, embedding, to training & fine tuning
model for generating sequence/text from poetry
Predicting the possible profit as return of investment
modèle de classification (regression logistique, KNN, naive bayes)
Prédiction de la Réussite des Startups Tech par models de classification
Cloud Computing and AWS learning resources
Predicting income level based on the individual’s personal information
A list of Moroccan Darija Datasets grouped by name, data source, region and size.
A curated collection of resources and repositories for Natural Language Processing (NLP) tasks specific to Darija, the Moroccan Arabic dialect. This repository aims to provide students and research…
NLP Cheat Sheet, Python, spacy, LexNPL, NLTK, tokenization, stemming, sentence detection, named entity recognition
A mindmap summarising Deep Learning concepts.
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
Stable Diffusion web UI
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Abdelhakim-gh / Spoon-Knife
Forked from octocat/Spoon-KnifeThis repo is for demonstration purposes only.
Contains Company Wise Questions sorted based on Frequency and all time
This is a repo with links to everything you'd ever want to learn about data engineering
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.