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Name: Ehsan SadrFaridpour
Type: User
Blog: ehsan.faridpour.com
Name: Ehsan SadrFaridpour
Type: User
Blog: ehsan.faridpour.com
A library for working with parameter sweeps
The ParSeMiS project (Parallel and Sequential Graph Mining Suite) searches for frequent, interesting substructures in graph databases. https://www2.cs.fau.de/EN/research/zold/ParSeMiS/index.html
Simulation of an inverted pendulum
Easily create a beautiful website using Academic and Hugo
Tutorials for uisng PyDAAL, i.e. the Python API of Intel Data Analytics Acceleration Library
python bindings for FLANN - Fast Library for Approximate Nearest Neighbors.
Moliere is a biomedical hypothesis generation system, meaning that it collects millions of research papers and finds fruitful new research directions.
Deep Learning (with PyTorch)
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Code and associated files for the deploying ML models within AWS SageMaker
scikit-learn: machine learning in Python
An intuitive library to add plotting functionality to scikit-learn objects.
Scipy library main repository
Tutorial Sessions for SciPy Con 2019
Deep generative modeling for single-cell transcriptomics
Reproducing the experiments of the paper "Deep generative modeling for single-cell transcriptomics"
Mirror of Apache Spark
Interactive and Reactive Data Science using Scala and Spark.
Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
Graph Based Knowledge Discovery, I am not the author, git'ified from:
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Computation using data flow graphs for scalable machine learning
TensorFlow Tutorial and Examples for Beginners with Latest APIs
Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.
💬 Slides and supplementary codes for my talk 'Debugging Tips on TensorFlow' (2016)
Code for Tensorflow Machine Learning Cookbook
python command line tool that takes a directory containing .txt files as input and generates three output files that can be used by the ldac or hlda implementations by David Blei
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.