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Starred repositories
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
High-performance TensorFlow library for quantitative finance.
Python Data Science Handbook: full text in Jupyter Notebooks
An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks
Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot
LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow
Hierarchical self-organizing maps for unsupervised pattern recognition
Simple python example on how to use ARIMA models to analyze and predict time series.
ASAP: Prioritizing Attention via Time Series Smoothing
Minimal and clean examples of machine learning algorithms implementations
Automatically generate commit messages using ChatGPT
pyinfra turns Python code into shell commands and runs them on your servers. Execute ad-hoc commands and write declarative operations. Target SSH servers, local machine and Docker containers. Fast …
Make your functions return something meaningful, typed, and safe!
Collection of awesome Python types, stubs, plugins, and tools to work with them.
Composable custom class converters for attrs, dataclasses and friends.
Distributed self-replicating programs in Python
A curated list of awesome Python asyncio frameworks, libraries, software and resources
Humane command line arguments parser. Now with maintenance, typehints, and complete test coverage.
Fast, flexible and easy to use probabilistic modelling in Python.
Python Sorted Container Types: Sorted List, Sorted Dict, and Sorted Set
Build a full-featured home server or NAS replacement with an Ubuntu box and this playbook.
Agent for collecting, processing, aggregating, and writing metrics, logs, and other arbitrary data.