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Naoufel EL ABBASSI's Projects

amazing-python-scripts icon amazing-python-scripts

πŸš€ Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts.

aqua-chemistry icon aqua-chemistry

Aqua Chemistry is a set of tools, algorithms and software to use for quantum chemistry research.

awesome-nlp icon awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

bigdl icon bigdl

BigDL: Distributed Deep Learning Library for Apache Spark

bitcoin icon bitcoin

Bitcoin Core integration/staging tree

bullet3 icon bullet3

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

chainer icon chainer

A flexible framework of neural networks for deep learning

cirq icon cirq

A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.

cntk icon cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

cppnnml icon cppnnml

The C++ Neural Network and Machine Learning project is intended to provide a C++ template library for neural nets and machine learning algorithms within embedded systems

cppwebframework icon cppwebframework

​The C++ Web Framework (CWF) is a MVC web framework, Open Source, under MIT License, using C++ with Qt to be used in the development of web applications.

cryengine icon cryengine

CRYENGINE is a powerful real-time game development platform created by Crytek.

crypto-algorithms icon crypto-algorithms

Basic implementations of standard cryptography algorithms, like AES and SHA-1.

dask icon dask

Parallel computing with task scheduling

dask-ml icon dask-ml

Distributed and parallel machine learning

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fmt icon fmt

A modern formatting library

graal icon graal

GraalVM: Run Programs Faster Anywhere :rocket:

h2o-3 icon h2o-3

Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

homemade-machine-learning icon homemade-machine-learning

πŸ€– Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

incubator-mxnet icon incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

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