alipsgh

tornado

The Tornado :tornado: framework, designed and implemented for adaptive online learning and data stream mining in Python.

data-streams

You will find (about) synthetic and real-world data streams in this repository.

codes-for-moa

My Java codes for the MOA framework. It includes the implementations of FHDDM, FHDDMS, and MDDMs.

machine-learning-materials

This repository shares very helpful materials, available on the Internet, for Machine Learning, Deep Learning, and Reinforcement Learning.

quick-tutorial-on-data-science

I will be adding tutorials for data science and machine learning in this repository.

ml-talks

You may find my slides for different talks in this repo.

quick-tutorial-on-pytorch

I will be adding tutorials for deep learning using PyTorch in this repository.

MDDM

This repository is prepared for McDiarmid Drift Detection Methods.

awesome-public-datasets

A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!

generative-models

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

AI_Curriculum

Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.

alipsgh

awesome-ocr

Links to awesome OCR projects

botfront

An open source chatbot platform built with Rasa

deep-mix-nets

deep-seq-nets

Deep neural network for sequential data

DeepLearningTutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

git-handson

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

practicalAI

A practical approach to learning machine learning.

pytorch-transformers

👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)

pytorch-transformers-classification

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.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

useful-commands

I like must-know and useful commands for machine learning and data scientist