Maxim's repositories
amm-arbitrageur
An arbitrage bot between Uniswap AMMs
angular-flask
An AngularJS (frontend) + Flask / Python (backend) Boilerplate Application
dl-docker
An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)
hr-scoring
HR Scoring for fast filter Resumes
imgaug
Image augmentation for machine learning experiments.
jam-py
Jam.py is the fastest way to create a web database application - http://jam-py.com
jupyter-themes
Custom Jupyter Notebook Themes
kandy
Simple Kandinsky Python SDK
lectures-labs
Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay
PokemonGo-Map
Live visualization of all the pokemon in your area... and more!
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.
shap
Explain the output of any machine learning model using expectations and Shapley values.
sniffly
Sniffing browser history using HSTS + CSP.
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.
Tomorrow
Magic decorator syntax for asynchronous code in Python
vulcan
An API-compatible alternative to Prometheus
xgboost
Large-scale and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, on single node, hadoop yarn and more.
xiaomi-mi-13-ubuntu
Minimal Ubuntu Installation and power optimization steps