benouinirachid's repositories
pyswip
PySwip is a Python - SWI-Prolog bridge enabling to query SWI-Prolog in your Python programs. It features an (incomplete) SWI-Prolog foreign language interface, a utility class that makes it easy querying with Prolog and also a Pythonic interface.
pyspark_ml_contrib
Some additional functionalities and methods that are useful for machine learning and data mining projects
SoundEventClassification
Classify daily life events using audio data.
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
afraid-to-commit
Don't be afraid to commit - a workshop/tutorial for inexperienced Python/Django developers who would like to contribute more to the projects they use.
dbconnect-docker
https://hub.docker.com/r/np90/dbconnect
object_detection_scripts
Scripts for Tensorflow Object Detection API
stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
tensorflow-facenet
人脸识别算法，结合facenet网络结构和center loss作为损失，基于tensorflow框架，含训练和测试代码，支持从头训练和摄像头测试
Audio-Segmentation-by-Classification
Audio segmentation means at least two things: Figure out, within an audio stream (audio file, network stream, audio device, etc.), regions that represent an audio activity (no matter what kind of activity) and those that represent a silence. This type of segmentation is rather referred to as Audio (or Acoustic) Activity Detection (AAD) and is a binary classification problem. Tell apart, within an audio stream, the nature of audio activities (e.g. speech, engine, bird, glass break, etc.). This is a multi-class classification problem. The former is a much simpler problem. In fact, if what we are looking for is to detect the presence of audio activities (of any kind), we can rely on simple parameters such as signal energy. auditok, a tool and API I published recently, can perfectly deal with this problem. As for recognizing the nature of audio activities within an audio stream, this is a much more complex problem. Two kinds of schemes are used to deal with it: Segmentation then Classification or Segmentation by Classification.
tensorflow-ocr
🖺 OCR using tensorflow with attention
ClusteringApplication
Application pour les méthodes non superviées.
scikit-feature
open-source feature selection repository in python (DMML Lab@ASU)
boruta_py
Python implementations of the Boruta all-relevant feature selection method.
shap-with-poisson-reg
Using Shapley values to explain Poisson regression.
shapley_value
Estimating marketing channel contribution based on Shapley Value
bad-words-detector
A Python script to detect language of some text and filter out the BAD words
ReBATE
Relief Based Algorithms of ReBATE implemented in Python with Cython optimization.
lda2vec-pytorch
Topic modeling with word vectors
autoweka
Auto-WEKA
emotion-lexicon
Arabic - English emotion lexicon
gestionecole
gestion ecole
testProjet
projet de test
ClusteringAlgo
This repository contains an implementation of some clustering algorithms.