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

Public repo for HF blog posts

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

Data repository for seaborn examples

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…

darija <-> english dataset

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/

This 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.