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Name: Aissatou Paye
Type: User
Company: AMMI -AIMS/Gaston Berger University
Bio: Machine Learning &Telecom Engineer
Location: Dakar,Sénégal
Blog: [email protected]
Name: Aissatou Paye
Type: User
Company: AMMI -AIMS/Gaston Berger University
Bio: Machine Learning &Telecom Engineer
Location: Dakar,Sénégal
Blog: [email protected]
Tutorials for the Deep Natural Language Processing class of the African Master's in Machine Intelligence given by Antoine Bordes
Anomaly detection related books, papers, videos, and toolboxes
A curated list of awesome anomaly detection resources
A curated list of awesome computer vision resources
+100 awesome Jupyter Notebooks templates, organized by tools, published by the Naas community, to kickstart your data projects in minutes. 😎
Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
This project is part of Kernel methods course at AMMI, the task is predicting relapse in patients the data is gene expression levels for 4654 genes on 184 early-stage breast cancer samples.
:bar_chart: Path to a free self-taught education in Data Science!
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
My Deep Learning Research Papers
The world's simplest facial recognition api for Python and the command line
Implementation of Fairness method for Classification Task
The fast.ai deep learning library, lessons, and tutorials
Library for fast text representation and classification.
GAN implementations
Material for the tutorial: Deep Diving into GANs: from theory to production
Detailed notes and code to learn the basics of machine learning with scikit-learn.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.
Models and examples built with TensorFlow
Notebooks for MXNet
Resources for "Natural Language Processing" Coursera course.
This is my collection of Neural Networks mini-projects as I'm learning NN, DNN, CNN and RNN.
beginning with udacity
Implementation of basics task of NLP with the module NLTK (Natural Language Toolkit)
:memo: This repository recorded my NLP journey.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.