Pinned Repositories
agremap
ai-docks
amm-arbitrageur
An arbitrage bot between Uniswap AMMs
angular-flask
An AngularJS (frontend) + Flask / Python (backend) Boilerplate Application
arccn.classifier
auto-ab
An approach of the development an automated A/B experiments platform
Metrics
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
python-pinterest
study
Study stuff
maxim-popkov's Repositories
maxim-popkov/Metrics
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
maxim-popkov/python-pinterest
maxim-popkov/study
Study stuff
maxim-popkov/agremap
maxim-popkov/ai-docks
maxim-popkov/amm-arbitrageur
An arbitrage bot between Uniswap AMMs
maxim-popkov/angular-flask
An AngularJS (frontend) + Flask / Python (backend) Boilerplate Application
maxim-popkov/auto-ab
An approach of the development an automated A/B experiments platform
maxim-popkov/code_py
A collection of well-commented code snippets for data science
maxim-popkov/de-pipe
maxim-popkov/dl-docker
An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)
maxim-popkov/EntryTasks
maxim-popkov/hr-scoring
HR Scoring for fast filter Resumes
maxim-popkov/imgaug
Image augmentation for machine learning experiments.
maxim-popkov/jam-py
Jam.py is the fastest way to create a web database application - http://jam-py.com
maxim-popkov/jupyter-themes
Custom Jupyter Notebook Themes
maxim-popkov/kandy
Simple Kandinsky Python SDK
maxim-popkov/lectures-labs
Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay
maxim-popkov/PokemonGo-Map
Live visualization of all the pokemon in your area... and more!
maxim-popkov/practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
maxim-popkov/rankit-dev
maxim-popkov/shap
Explain the output of any machine learning model using expectations and Shapley values.
maxim-popkov/sniffly
Sniffing browser history using HSTS + CSP.
maxim-popkov/some-js-test
maxim-popkov/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
maxim-popkov/Tomorrow
Magic decorator syntax for asynchronous code in Python
maxim-popkov/vk-js-parser
maxim-popkov/vulcan
An API-compatible alternative to Prometheus
maxim-popkov/xgboost
Large-scale and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, on single node, hadoop yarn and more.
maxim-popkov/xiaomi-mi-13-ubuntu
Minimal Ubuntu Installation and power optimization steps