aissatoupaye Goto Github PK

ammi-2019-bordes-deepnlp

Tutorials for the Deep Natural Language Processing class of the African Master's in Machine Intelligence given by Antoine Bordes

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

anomalydetection.jl

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-notebooks

+100 awesome Jupyter Notebooks templates, organized by tools, published by the Naas community, to kickstart your data projects in minutes. 😎

basic_model_scratch

Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library

biobert

BioBERT: a pre-trained biomedical language representation model for biomedical text mining

cancer_relapse_prefiction

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.

data-science

:bar_chart: Path to a free self-taught education in Data Science!

deep-generative-models-indabaxsenegal2021

deeplearningfornlpinpytorch

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

dl_research

My Deep Learning Research Papers

face_recognition

The world's simplest facial recognition api for Python and the command line

fairness-in-classification-and-representation-learning

Implementation of Fairness method for Classification Task

fastai

The fast.ai deep learning library, lessons, and tutorials

fasttext

Library for fast text representation and classification.

gan-yhat

GAN implementations

gans-from-theory-to-production

Material for the tutorial: Deep Diving into GANs: from theory to production

machine-learning

machine-learning-dataschool

Detailed notes and code to learn the basics of machine learning with scikit-learn.

ml-dl-and-rl-documents

ml-from-scratch

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

Models and examples built with TensorFlow

mxnet-notebooks

Notebooks for MXNet

natural-language-processing

Resources for "Natural Language Processing" Coursera course.

neural-network-projects

This is my collection of Neural Networks mini-projects as I'm learning NN, DNN, CNN and RNN.

new-git-project

beginning with udacity

nlp

Implementation of basics task of NLP with the module NLTK (Natural Language Toolkit)

nlp-1

:memo: This repository recorded my NLP journey.