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Name: Ali Pesaranghader
Type: User
Company: LG Toronto AI Lab
Bio: Sr. AI Research Scientist
Twitter: alipsgh
Location: Toronto, Earth
Name: Ali Pesaranghader
Type: User
Company: LG Toronto AI Lab
Bio: Sr. AI Research Scientist
Twitter: alipsgh
Location: Toronto, Earth
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
Links to awesome OCR projects
A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!
An open source chatbot platform built with Rasa
My Java codes for the MOA framework. It includes the implementations of FHDDM, FHDDMS, and MDDMs.
You will find (about) synthetic and real-world data streams in this repository.
Deep neural network for sequential data
Deep Learning Tutorial notes and code. See the wiki for more info.
List of Data Science Cheatsheets to rule the world
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
This repository shares very helpful materials, available on the Internet, for Machine Learning, Deep Learning, and Reinforcement Learning.
This repository is prepared for McDiarmid Drift Detection Methods.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
You may find my slides for different talks in this repo.
A practical approach to learning machine learning.
👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)
Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.
I will be adding tutorials for data science and machine learning in this repository.
I will be adding tutorials for deep learning using PyTorch in this repository.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
The Tornado :tornado: framework, designed and implemented for adaptive online learning and data stream mining in Python.
I like must-know and useful commands for machine learning and data scientist
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.