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Name: Amin Abbasnejad
Type: User
Bio: Data and AI Specialist
Location: Montreal
Name: Amin Abbasnejad
Type: User
Bio: Data and AI Specialist
Location: Montreal
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
Data Structures and Algorithms in Python
my solutions to the exercises in book Data Structures and Algorithms in Python
:book: Worked Solutions of "Data Structures & Algorithms in Python", written by Michael T. Goodrich, Roberto Tamassia and Michael H. Goldwasser. ✏️
DataCamp data-science courses
Here are my solutions to DataCamp's Projects with Python
My solutions to DataCamp projects (now only Python)
Assignments in KTH course- Deep Learning in Data Science
Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood
Deep Learning Practices
CS231n: Convolutional Neural Networks for Visual Recognition Assignment solutions
A community run, 5-day PyTorch Deep Learning Bootcamp
# Deep Learning with Keras
Programming Assignments and Lectures for UC Berkeley's CS 294: Deep Reinforcement Learning
A TensorFlow implementation of Baidu's DeepSpeech architecture
Code and assignment repository for the Imperial College Mathematics department Deep Learning course
Pythonic solutions to the book Elements of Programming Interviews
A classification model in Machine Learning capable of recognizing human facial emotions
Project Euler solutions in Python, Haskell, Ruby, Rust, and more.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Face related datasets
A set of images for classifying facial expressions
Using Extended Cohn-Kanade AU-Coded Facial Expression Database to classify basic human facial emotion expressions using ann
Python3 project applying Gaussian process regression for forecasting stock trends
this repository accompanies my forthcoming book "Grokking Deep Learning"
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
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.